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Software Cientifico R Econometria
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Book Synopsis Data Analysis Using Stata by : Ulrich Kohler (Dr. phil.)
Download or read book Data Analysis Using Stata written by Ulrich Kohler (Dr. phil.) and published by Stata Press. This book was released on 2005-06-15 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.
Book Synopsis Hands-On Machine Learning with R by : Brad Boehmke
Download or read book Hands-On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Book Synopsis Impact Evaluation in Practice;La Evaluación de Impacto en la Práctica by : Paul J. Gertler
Download or read book Impact Evaluation in Practice;La Evaluación de Impacto en la Práctica written by Paul J. Gertler and published by World Bank Publications. This book was released on 2011-06-13 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an accessible introduction to the topic of impact evaluation and its practice in development. While the book is geared principally towards development practitioners and policymakers designing prospective impact evaluations, we trust that it will be a valuable resource for students and others interested in using impact evaluation. Prospective impact evaluations should be used selectively to assess whether or not a program has achieved its intended results, or to test alternatives for achieving those results. We consider that more and better impact evaluation will help strengthen the evidence base for development policies and programs around the world. If governments and development practitioners can make policy decisions based on evidence - including evidence generated through impact evaluation - our hope is that development resources will be spent more effectively, and ultimately have a greater impact on reducing poverty and improving people's lives. The three chapters in this handbook provide a non-technical introduction to impact evaluations, including “Why Evaluate” in Chapter 1, “How to Evaluate” in Chapter 2 and “How to Implement Impact Evaluations” in Chapter 3. These elements are the basic ‘tools' needed in order to successfully carry out an impact evaluation. From a methodological standpoint our approach to impact evaluation is largely pragmatic: we think that the most appropriate methods should be identified to fit the operational context, and not the other way around. This is best achieved at the outset of the program, through the design of prospective impact evaluation that can be built into the project's implementation. We argue that gaining consensus between key stakeholders and identifying an evaluation design that fits the political and operational context is as important as the method itself. We also believe strongly that impact evaluations should be upfront about their limitations and caveats. Finally, we strongly encourage policymakers and program managers to consider impact evaluations in a logical framework that clearly sets out the causal pathways by which the program works to produce outputs and influence final outcomes, and to combine impact evaluations with monitoring and selected complementary evaluation approach to gain a full picture of performance. This book builds on a core set of teaching materials developed for the “Turning Promises to Evidence” workshops organized by the office of the Chief Economist for Human Development (HDNCE) in partnership with regional units and the Development Economics Research Group (DECRG) at the World Bank.
Book Synopsis Modern Spatial Econometrics in Practice by : Luc Anselin
Download or read book Modern Spatial Econometrics in Practice written by Luc Anselin and published by Geoda Press LLC. This book was released on 2014-12-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the definitive user's guide to the spatial regression functionality in the software packages GeoDa and GeoDaSpace, as well as the spreg module in the PySAL library --all developed at the GeoDa Center for Geospatial Analysis and Computation. The book provides the techniques to test for and estimate spatial effects in linear regression models, addressing both spatial dependence (spatial autoregressive models) as well as spatial heterogeneity (spatial regimes models). The book also serves as an introduction and a practical guide to spatial econometrics in that it covers the methodological principles and formal results that underlie the various estimation methods, test procedures and model characteristics computed by the software. While the classical maximum likelihood estimation is included, the book's coverage emphasizes modern techniques based on the principle of generalized method of moments (GMM).
Book Synopsis Avaliação de Impacto na Prática by : Paul J. Gertler
Download or read book Avaliação de Impacto na Prática written by Paul J. Gertler and published by World Bank Publications. This book was released on 2015-05-26 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: “ O objetivo deste livro é fornecer um guia acessível, abrangente e claro para a avaliação de impacto. Omaterial, desde a motivação da avaliação de impacto até as vantagens de diferentes metodologias, cálculos de poder estatístico e de custos, é explicado de forma muito clara e a cobertura é impressionante. Este livro se tornará um guia muito consultado e utilizado e afetará a formulação depolíticas para os próximos anos.†? Orazio Attanasio, Professor de Economia, University College London; Diretor, Centro de Avaliação de Políticas de Desenvolvimento, Instituto de Estudos Fiscais, Reino Unido “ Este é um recurso valioso para quem procura realizar avaliações de impacto no mundo em desenvolvimento, abrangendo os aspectos conceituais e práticos envolvidos, ilustrados com exemplos de prática recente.†? Michael Kremer, Professor de Sociedades em Desenvolvimento, Departamento de Economia, Universidade de Harvard, Estados Unidos “ Os ingredientes principais para boas avaliações públicas são (a) metodologias apropriadas; (b) a capacidade de resolver problemas práticos, tais como coletar de dados, trabalhar com orçamentos baixos, e escrever relatório fi nal; e (c) governos responsáveis. Este livro não apenas descreve metodologias técnicas sólidas para medir o impacto de programas públicos, mas também fornece vários exemplos e nos leva ao mundo real da implementação de avaliações, desde o convencimento dos formuladores de políticas até a divulgação dos resultados. Se mais profi ssionais e formuladores de políticas lessem este manual, teríamos melhores políticas e resultados em muitos países. Se os governos melhorarem a prestação de contas, o impacto deste manual será ainda maior.†? Gonzalo Hernández Licona, Secretário Executivo, Conselho Nacional de Avaliação de Políticas de Desenvolvimento Social (CONEVAL), México “ Eu recomendo este livro como um guia claro e acessível para as questões desafi adoras, práticas e técnicas, enfrentadas na elaboração de avaliações de impacto. Ele se baseia em material que tem sidotestado em workshops em todo o mundo e deve se mostrar igualmente útil aos profi ssionais, formuladores de políticas e avaliadores.†? Nick York, Chefe do Departamento de Avaliação, Departamento para o Desenvolvimento Internacional, Reino Unido “ O conhecimento é um dos bens mais valiosos para compreender a natureza complexa do processo de desenvolvimento. A avaliação de impacto pode contribuir para preencher a lacuna entre intuição e evidências, para melhor informar a formulação de políticas. Este livro, um dos resultados tangíveis do Fundo Estratégico de Avaliação de Impacto, equipa os profi ssionais de desenvolvimento humano com ferramentas de ponta para produzir evidências sobre quais políticas funcionam e por quê. Visto que ele aumenta a nossa capacidade de alcançar resultados, esperamos que faça uma grande diferença na prática do desenvolvimento.†? Soraya Rodríguez Ramos, Secretária de Estado para a Cooperação Internacional, Espanha
Download or read book bookdown written by Yihui Xie and published by CRC Press. This book was released on 2016-12-12 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
Book Synopsis Interpretable Machine Learning by : Christoph Molnar
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Book Synopsis Chemical Process Industries by : Randolph Norris Shreve
Download or read book Chemical Process Industries written by Randolph Norris Shreve and published by McGraw-Hill Companies. This book was released on 1977 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado
Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Book Synopsis Statistics with Stata 3 by : Lawrence C. Hamilton
Download or read book Statistics with Stata 3 written by Lawrence C. Hamilton and published by Brooks/Cole. This book was released on 1993 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text contains a description of Stata 3.0 that should be useful to users of both the student and professional versions. The book includes a disk containing the student version of Stata 3.0.
Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Book Synopsis Cultural and Creative Industries by : Marta Peris-Ortiz
Download or read book Cultural and Creative Industries written by Marta Peris-Ortiz and published by Springer. This book was released on 2018-11-09 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the ways in which cultural and creative industries can drive entrepreneurship, innovation, sustainability and overall regional development. It will address such issues as (1) the technical (tangible) components of creative and cultural industries in relation to innovation; (2) the intangible components of creative and cultural industries in relation to services provided; (3) the relationship between tangible and intangible components and economic and social innovation; and (4) the ways in which creative and cultural industries effect and influence regional sustainability and development. Cultural and creative industries and the creative economy as a whole have been increasingly prevalent in research literature because of their role in driving economic and social development. Cultural and creative industries also enable other forms of entrepreneurship and innovation beyond the traditional, technology-based focus of innovation, thereby enhancing regional growth and development through these channels. The contributions presented in this book discuss the main issues, challenges, opportunities and trends of cultural and creative industries through conceptual analysis and cases studies from different world regions. Featuring research from industries such as art, health care, beer and wine and education, this book provides researchers, academics, professionals and policy makers with a detailed examination of the development and potential of cultural and creative industries in regional and global economies.
Book Synopsis Behavior Analysis with Machine Learning Using R by : Enrique Garcia Ceja
Download or read book Behavior Analysis with Machine Learning Using R written by Enrique Garcia Ceja and published by CRC Press. This book was released on 2021-11-26 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.
Book Synopsis Social Health Insurance by : Charles Normand
Download or read book Social Health Insurance written by Charles Normand and published by . This book was released on 1994 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Econometrics by : Gary Koop
Download or read book Bayesian Econometrics written by Gary Koop and published by Wiley-Interscience. This book was released on 2003 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.
Book Synopsis Investigación en sistemas de salud by : Instituto Nacional de Salud Pública (Mexico)
Download or read book Investigación en sistemas de salud written by Instituto Nacional de Salud Pública (Mexico) and published by . This book was released on 2011 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluating Human Capital written by Cipd and published by CIPD Publishing. This book was released on 2002-10-01 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays most organisations understand and accept that people are the key drivers of value in their organisation. With company accounts recording the costs associated with people, not the benefits that they bring, this text explores the experiences of 10 case study organisations that are making real and deliberate efforts to understand the contributions of their employees, and how that contributes to the success of the business. This text also reviews the extensive body of literature on the subject and explores case study organisations, which include such companies as Marks & Spencer, Tesco, BT and BAE Systems. The text concludes that human capital cannot be the subject of a one-size-fits-all measurement tool, but that it is possible for organisations to measure and manage human capital using methodology designed to suit their own needs and goals.
