Econometria Avanzada, Conceptos y Ejercicios Con IBM SPSS

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Publisher : CreateSpace
ISBN 13 : 9781493533169
Total Pages : 188 pages
Book Rating : 4.5/5 (331 download)

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Book Synopsis Econometria Avanzada, Conceptos y Ejercicios Con IBM SPSS by : María Pérez Marqués

Download or read book Econometria Avanzada, Conceptos y Ejercicios Con IBM SPSS written by María Pérez Marqués and published by CreateSpace. This book was released on 2013-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: En este libro se trata una amplia tipología de modelos econométricos avanzados, entre los que destacan los modelos de variable dependiente limitada , los modelos dinámicos, los modelos de clasificación y segmentación con árboles de decisión, los modelos de análisis discriminante, los modelos con datos de panel, los modelos no lineales y los modelos de regresión particionada y segmentada. A lo largo del texto se profundiza en las temáticas siguientes:Modelos de clasificación y segmentación. Modelos de variable dependiente limitada Modelos de elección discreta Modelos de elección discreta binaria Modelo lineal de probabilidad Modelos Probit y Logit Modelos de elección múltiple Modelo Logit Multinomial Modelo Logit Condicional Modelo Logit Anidado Modelo Probit Multinomial Modelos Logit y Probit ordenados SPSS y los modelos de variable dependiente limitada SPSS y la regresión logística binaria SPSS y el modelo Probit SPSS y el modelo Logit multinomial Modelos dinámicos Modelos dinámicos con retardos en las variables exógenas Modelos dinámicos con retardos en la variable endógena Modelos dinámicos con retardos en la variable endógena y en las variables exógenas simultáneamente Tipos especiales de modelos dinámicos SPSS y los modelos dinámicos SPSS y los modelos dinámicos con regresores estocásticos. variables instrumentales Modelos de clasificación y segmentación ad-hoc: Árboles de decisión y tipos Árboles CHAID Árboles CART Árboles QUEST Árboles de decisión con SPSS Creación de un árbol de decisión: método CHAIDMétodos CRT y QUEST. Poda de árboles Econometría de los datos de panel. Paneles puros y paneles expandidos Comparación entre muestras anuales, combinaciones de cortes transversales (pool de datos) y paneles Modelos econométricos con datos de panel Modelos de panel con coeficientes constantesModelos de panel de efectos fijos Modelos de panel de efectos aleatorios Modelos dinámicos con datos de panel Modelos Logit y Probit con datos de panel SPSS y los modelos con datos de panel Modelos de clasificación y segmentación ad-hoc : Modelo de análisis discriminante Introducción al análisis discriminante Hipótesis en el modelo discriminante Estimación del modelo discriminante Contrastes de significación en el modelo discriminante Selección de variables discriminantes Interpretación de la función discriminante Clasificación de los individuos Análisis discriminante canónico Spss y el análisis discriminante Modelos y sistemas no lineales Modelos no lineales Modelos no lineales sencillos Regresión particionada y segmentadaTodo el desarrollo de ejercicios prácticos se realiza utilizando el software SPSS, uno de los más actual del mercado adecuado para estas tareas econométricas no triviales.

Econometría con IBM SPSS

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781495253515
Total Pages : 0 pages
Book Rating : 4.2/5 (535 download)

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Book Synopsis Econometría con IBM SPSS by : María Pérez Marqués

Download or read book Econometría con IBM SPSS written by María Pérez Marqués and published by Createspace Independent Publishing Platform. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro tiene como finalidad la presentación de las técnicas econométricas básicas, tanto clásicas como modernas, y su tratamiento con la herramienta de software IBM SPSS, para abordar de modo sencillo el trabajo econométrico. Los capítulos se inician con la exposición de los conceptos y notas teóricas adecuadas, para resolver a continuación una variedad de ejercicios que cubran los conceptos expuestos. No se trata, por tanto, de hacer una exposición teórica completa con demostraciones, sino más bien de recopilar la mayor parte de los conceptos econométricos e ilustrarlos con la práctica a través de la herramienta de software IBM SPSS. En capítulos sucesivos se trata el modelo lineal de regresión múltiple y toda su problemática (autocorrelación, heteroscedasticidad, multicolinealidad, normalidad, linealidad, etc.), los modelos univariantes de series temporales a través de la metodología de Box-Jenkins para modelos ARIMA, los modelos del análisis de la varianza y la covarianza, el modelo lineal general, los modelos predictivos de análisis de snálisis discriminante para la clasificación y la segmentación, los modelos de elección discreta Logit y Probit y los modelos econométricos con datos de panel.

Advanced Econometrics. Concepts and Exercises with IBM SPSS

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781493533688
Total Pages : 0 pages
Book Rating : 4.5/5 (336 download)

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Book Synopsis Advanced Econometrics. Concepts and Exercises with IBM SPSS by : Cesar Lopez

Download or read book Advanced Econometrics. Concepts and Exercises with IBM SPSS written by Cesar Lopez and published by Createspace Independent Publishing Platform. This book was released on 2013-10-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a wide typology of econometric models advanced, among them the following: Limited dependent variable model Logit binary model Logit Multinomial model Logit conditional model Logit nested models Probit binary model Probit Multinomial models Dynamic models Classification and segmentation models Decision trees models CHAID trees CART trees QUEST trees Discriminant analysis models Panel data models Panel data models with constant coefficients Panel data models with fixed effects Panel data models with random effects Dynamic panel data models Logit and Probit panel data models Nonlinear models Data partitioned regression models Segmented regression models The development of practical exercises is performed using the SPSS software, one of the most modern on the market suitable for these non-trivial econometric task.

MODELOS ECONOMÉTRICOS con IBM SPSS

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781535451987
Total Pages : 384 pages
Book Rating : 4.4/5 (519 download)

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Book Synopsis MODELOS ECONOMÉTRICOS con IBM SPSS by : Csar Prez

Download or read book MODELOS ECONOMÉTRICOS con IBM SPSS written by Csar Prez and published by Createspace Independent Publishing Platform. This book was released on 2016-07-24 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: El tratamiento de un modelo econométrico exige un orden y una secuenciación de tareas que han de estar muy claras. La identificación del modelo nos lleva a la revisión de la literatura para justificar la relación definida entre la variable dependiente y las variables independientes. La estimación del modelo utiliza el aparato matemático para encontrar la ecuación de ajuste. Una vez estimado el modelo es necesario diagnosticarlo adecuadamente mediante contrastes estadísticos. Superada la fase de diagnosis ya podemos utilizar el modelo para realizar predicciones. En este libro se abordan las fases de identificación, estimación, diagnosis y predicción para el tratamiento de modelos econométricos. Asimismo, se profundiza en la diagnosis desarrollando las problemáticas de Autocorrelación, Heteroscedasticidad, Normalidad residual, Multicolinealidad, Endogeneidad y otros problemas. Asimismo, se tratan una amplia tipología de modelos entre los que destacan los modelos de regresión múltiple, los modelos lineales generalizados, los modelos de variable dependiente limitada (Logit, Probit, Poisson, recuento, etc.), los modelos del análisis de la varianza y la covarianza, el modelo linea general, los modelos no lineales, los modelos con árboles de decisión y los modelos de datos de panel y los modelos con redes neuronales.Con la finalidad de clarificar la metodología, se resuelven ejercicios prácticos con el software econométrico IBM SPSS STATISTICS.

Multivariate Methods and Forecasting with IBM® SPSS® Statistics

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Author :
Publisher : Springer
ISBN 13 : 3319564811
Total Pages : 185 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Multivariate Methods and Forecasting with IBM® SPSS® Statistics by : Abdulkader Aljandali

Download or read book Multivariate Methods and Forecasting with IBM® SPSS® Statistics written by Abdulkader Aljandali and published by Springer. This book was released on 2017-07-06 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).

Econometria Avanzada Con Herrimientas de Mineria de Datos

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Publisher : CreateSpace
ISBN 13 : 9781493639335
Total Pages : 196 pages
Book Rating : 4.6/5 (393 download)

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Book Synopsis Econometria Avanzada Con Herrimientas de Mineria de Datos by : Maria Perez Marques

Download or read book Econometria Avanzada Con Herrimientas de Mineria de Datos written by Maria Perez Marques and published by CreateSpace. This book was released on 2013-10 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: En este libro se tratan los modelos econométricos a través de técnicas de minería de datos, tanto predictivas como de clasificación, a través del siguiente contenido: MODELOS ECONOMÉTRICOS CON HERRAMIENTAS DE MINERÍA DE DATOS 1.1 TÉCNICAS DE MINERÍA DE DATOS 1.2 TÉCNICAS PREDICTIVAS PARA LA MODELIZACIÓN ECOMÉTRICA 1.3 TÉCNICAS PREDICTIVAS DE MODELIZACIÓN CON SAS ENTERPRISE MINER 1.3.1 El nodo Regresión: Modelo de regresión múltiple 1.3.2 El nodo Regresión: Modelo Lineal General GLM 1.3.3 El nodo Regresión: Modelos de elección discreta Logit y Probit 1.4 TÉCNICAS PREDICTIVAS DE MODELIZACIÓN CON SPSS CLEMENTINE 1.4.1 El nodo Regresión Lineal: Modelo de regresión múltiple 1.4.2 El nodo Regresión Logística: Modelos de elección discreta 1.5 ANÁLISIS CLUSTER CON ENTERPRISE MINER. EL NODO CLUSTERING 1.6 ÁRBOLES DE DECISIÓN CON ENTERPRISE MINER. EL NODO TREE 1.6.1 Entrenamiento interactivo (Interactive Training) 1.7 ANÁLISIS CLUSTER CON SPSS CLEMENTINE 1.7.1 El nodo Entrenar K-medias: Cluster no jeráquico 1.7.2 El nodo Cluster Bietápico: Cluster jerárquico 1.8 ÁRBOLES DE DECISIÓN CON SPSS CLEMENTINE 1.8.1 El nodo Crear C5.0 1.8.2 El nodo Árbol C&R 1.8.3 Interpretar un modelo MODELOS ECONOMÉTRICOS CON REDES NEURONALES 2.1 DESCRIPCIÓN DE LA RED NEURONAL 2.1.1 Definición 2.1.2 Función de salida y funciones de transferencia o activación 2.2 REDES NEURONALES Y AJUSTE DE MODELOS DE REGRESIÓN 2.3 APRENDIZAJE EN LAS REDES NEURONALES2.4 FUNCIONAMIENTO DE UNA RED NEURONAL2.5 EL ALGORITMO DE APRENDIZAJE RETROPROPAGACIÓN (BACK- PROPAGATION)2.6 ANÁLISIS DISCRIMINANTE A TRAVÉS DEL PERCEPTRÓN 2.7 ANÁLISIS DE SERIES TEMPORALES MEDIANTE REDES NEURONALES 2.8 ANÁLISIS DE COMPONENTES PRINCIPALES CON REDES NEURONALES 2.9 CLUSTERING MEDIANTE REDES NEURONALES2.10 REDES NEURONALES CON SAS ENTERPRISE MINER 2.10.1 Optimización y ajuste de modelos con redes: Nodo Neural Network 2.10.2 Predicción y análisis discriminante a través de redes neuronales: Nodo Two Stage Model 2.10.3 Análisis cluster con redes neuronales: Nodo SOM/Kohonen 2.11 REDES NEURONALES CON SPSS CLEMENTINE2.11.1 Nodo Entrenar red 2.11.2 Nodo Entrenar Kohonen 2.11.3 Nodo Entrenar K-Medias Todo el desarrollo de ejercicios prácticos se realiza desde una óptica multisoftware, utilizándose los programas más actual del mercado en materia de Minería de Datos. En concreto se resuelven los ejercicios con IBM SPSS MODELER Y SAS ENTERPRISE MINER

Discovering Statistics Using IBM SPSS Statistics

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Publisher : SAGE
ISBN 13 : 1446274578
Total Pages : 953 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Discovering Statistics Using IBM SPSS Statistics by : Andy Field

Download or read book Discovering Statistics Using IBM SPSS Statistics written by Andy Field and published by SAGE. This book was released on 2013-02-20 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lecturers/instructors - request a free digital inspection copy here With a little help from his weird band of characters the Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics. Lecturers: with WebAssign® you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise! Ideal for short courses, choose to use WebAssign® alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the 2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign® still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution. For more information on how to integrate WebAssign® into a forthcoming course or to arrange a class test please contact your local SAGE representative for more details. (Students please note: access to WebAssign® is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor). SAGE MobileStudy - study where and when you like Scan any QR code within the book to access revision material on a smartphone or tablet such as Cramming Sam's Study tips, flashcard glossaries, interactive multiple choice questionnaires and more. Click here to take a look (if you're accessing the site from a desktop you'll be taken to the Companion Website instead; look out for the MobileStudy icon to show you which pages are also available on the MobileStudy site). See how Andy's book is changing the landscape for textbooks through the use of technology! Support materials for a wide range of disciplines Education and Sport Sciences lecturer support materials with enhanced ones for Psychology, Business and Management and the Health Sciences on the enhanced Companion Website make the book even more relevant to a wider range of subjects across the social sciences and where statistics is taught to a cross-disciplinary audience. Other major new updates include: Now fully compatible with recent IBM SPSS Statistics releases. Two new characters! Statistical cult leader Oditi provides students with access to video clips via his Lantern to help further understanding of statistical/SPSS concepts, while Confusius helps students to make better sense of statistical terms. The enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and subject-specific testbanks for lecturers as well as answers to the Smart Alex tasks at the end of the each chapter; datafiles for testing problems in SPSS; flashcards of key concepts; self-assessment multiple-choice questions; and online videos of key statistical and SPSS procedures discussed in the textbook for students. Video Links Go behind the scenes of the Fourth Edition, and find out about the man behind the book Watch Andy introduce SAGE MobileStudy Ask Andy Anything: Teaching stats... and Robbie Williams' head Ask Andy Anything: Gibson or Fender Ask Andy Anything: The one part of the book Andy hated writing Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Data Mining with SPSS Modeler

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Author :
Publisher : Springer Nature
ISBN 13 : 3030543382
Total Pages : 1285 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Data Mining with SPSS Modeler by : Tilo Wendler

Download or read book Data Mining with SPSS Modeler written by Tilo Wendler and published by Springer Nature. This book was released on 2021-05-24 with total page 1285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.

Quantitative Analysis and IBM® SPSS® Statistics

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Publisher : Springer
ISBN 13 : 3319455281
Total Pages : 190 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Quantitative Analysis and IBM® SPSS® Statistics by : Abdulkader Aljandali

Download or read book Quantitative Analysis and IBM® SPSS® Statistics written by Abdulkader Aljandali and published by Springer. This book was released on 2016-11-08 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

A Concise Guide to Market Research

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Publisher : Springer
ISBN 13 : 9783642539640
Total Pages : 347 pages
Book Rating : 4.5/5 (396 download)

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Book Synopsis A Concise Guide to Market Research by : Marko Sarstedt

Download or read book A Concise Guide to Market Research written by Marko Sarstedt and published by Springer. This book was released on 2014-08-07 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22

Econometria de Las Series Temporales. Metodologia Box-Jenkins. Ejercicios Resueltos Con IBM SPSS

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781530460021
Total Pages : 206 pages
Book Rating : 4.4/5 (6 download)

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Book Synopsis Econometria de Las Series Temporales. Metodologia Box-Jenkins. Ejercicios Resueltos Con IBM SPSS by : Libros Técnicos

Download or read book Econometria de Las Series Temporales. Metodologia Box-Jenkins. Ejercicios Resueltos Con IBM SPSS written by Libros Técnicos and published by Createspace Independent Publishing Platform. This book was released on 2016-03-09 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Los datos de series temporales son una de las estructuras de datos más importantes en el trabajo econométrico aplicado. Este libro comienza tratando los conceptos de series temporales para la predicción, para posteriormente profundizar en la mayoría de las técnicas para la obtención de predicciones, tanto condicionales como incondicionales. Se abordan, tanto los métodos autoproyectivos deterministas (Holt, Brown, Winters, etc.), como los modelos de Box Jenkins a través de la metodología ARIMA univariante y multivariante para la obtención de predicciones. En cuanto al soporte computacional para el desarrollo de modelos de predicción se utiliza IBM SPSS. En cuanto a la metodología, se presentarán conceptos teóricos concretos y concisos al principio de los temas ilustrándolos con ejemplos que se adecuen convenientemente a la metodología y en índice creciente de dificultad.

Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

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Publisher : Springer Nature
ISBN 13 : 3030852547
Total Pages : 607 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Econometrics, Operational Research, Data Science and Actuarial Studies by : M. Kenan Terzioğlu

Download or read book Advances in Econometrics, Operational Research, Data Science and Actuarial Studies written by M. Kenan Terzioğlu and published by Springer Nature. This book was released on 2022-01-17 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Management Decision-Making, Big Data and Analytics

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Publisher : SAGE
ISBN 13 : 1529738288
Total Pages : 354 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Management Decision-Making, Big Data and Analytics by : Simone Gressel

Download or read book Management Decision-Making, Big Data and Analytics written by Simone Gressel and published by SAGE. This book was released on 2020-10-12 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Computational Econometrics

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Publisher : IOS Press
ISBN 13 : 9781586034269
Total Pages : 420 pages
Book Rating : 4.0/5 (342 download)

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Book Synopsis Computational Econometrics by : Charles G. Renfro

Download or read book Computational Econometrics written by Charles G. Renfro and published by IOS Press. This book was released on 2004 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication contains a substantial amount of detail about the broad history of the development of econometric software based on the personal recollections of many people. For economists, the computer has increasingly become the primary applied research tool, and it is software that makes the computer work.

Obtaining Value from Big Data for Service Delivery

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Publisher : Business Expert Press
ISBN 13 : 1631572237
Total Pages : 130 pages
Book Rating : 4.6/5 (315 download)

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Book Synopsis Obtaining Value from Big Data for Service Delivery by : Stephen H. Kaisler

Download or read book Obtaining Value from Big Data for Service Delivery written by Stephen H. Kaisler and published by Business Expert Press. This book was released on 2015-12-21 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is an emerging phenomenon that has enormous implications and impacts upon business strategy, profitability, and process improvements. All service systems generate big data these days, especially human-centered service systems. It has been characterized as the collection, analysis and use of data characterized by the five Vs: volume, velocity, variety, veracity, and value (of data). This booklet will help middle, senior, and executive managers to understand what big data is; how to recognize, collect, process, and analyze it; how to store and manage it; how to obtain useful information from it; and how to assess its contribution to operational, tactical, and strategic decision-making in service-oriented organizations.

Handbook of Computational Econometrics

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Publisher : John Wiley & Sons
ISBN 13 : 0470748907
Total Pages : 514 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Handbook of Computational Econometrics by : David A. Belsley

Download or read book Handbook of Computational Econometrics written by David A. Belsley and published by John Wiley & Sons. This book was released on 2009-08-18 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations. This book: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies. Brings together contributions from leading researchers. Develops the techniques needed to carry out computational econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation. This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.

IBM SPSS for Intermediate Statistics

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Author :
Publisher : Routledge
ISBN 13 : 1136334939
Total Pages : 617 pages
Book Rating : 4.1/5 (363 download)

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Book Synopsis IBM SPSS for Intermediate Statistics by : Nancy L. Leech

Download or read book IBM SPSS for Intermediate Statistics written by Nancy L. Leech and published by Routledge. This book was released on 2014-08-05 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format. The new edition features: • IBM SPSS version 22; although the book can be used with most older and newer versions • New discusiion of intraclass correlations (Ch. 3) • Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5) • New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6) • New chapter on how to use a variable as a mediator or a moderator (ch. 7) • Revised chapter on multilevel and hierarchical linear modeling (ch. 12) • A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data • Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides. IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools: • all of the key SPSS windows needed to perform the analyses • outputs with call-out boxes to highlight key points • interpretation sections and questions to help students better understand and interpret the output • extra problems with realistic data sets for practice using intermediate statistics • Appendices on how to get started with SPSS, write research questions, and basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS