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Author : James R Evans
Publisher : Prentice Hall
ISBN 13 : 9780132076678
Total Pages : pages
Book Rating : 4.0/5 (766 download)
Download or read book Statistics, Data Analysis and Decision Modeling, Student Value Edition written by James R Evans and published by Prentice Hall. This book was released on 2008-07-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James Robert Evans
Publisher :
ISBN 13 :
Total Pages : 350 pages
Book Rating : 4.3/5 (97 download)
Download or read book Statistics, Data Analysis, and Decision Modeling written by James Robert Evans and published by . This book was released on 2000 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a brief or modular course covering business statistics and introductory topics in management science. Designed specifically for today's shorter courses, often found in MBA programmes. This text covers the basic concepts of business statistics, data analysis, and management science in a contemporary spreadsheet environment. The authors emphasize practical applications of the approaches to business decision making. *This book integrates fundamental concepts of business statistics and decision models in only nine chapters. The authors take a practical, non-mathematical approach. *Practical applications - The authors emphasize applications throughout. *The emphasis is on using spreadsheets for data analysis and decision modeling. The book features Excel, and the Excel add-ins: PHSTAT, Crystal Ball, and TreePlan. *Software Tools - PHSTAT, a collection of statistical tools that enhance the capabilities of Excel; a student version of Crystal Ball, the most popular commercial package for simulation and risk analysis; and TreePlan, a decision analysis add-in, are included on the CD-ROM packaged with the book for free.
Author : James Robert Evans
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 590 pages
Book Rating : 4.3/5 ( download)
Download or read book Statistics, Data Analysis, and Decision Modeling written by James Robert Evans and published by Prentice Hall. This book was released on 2007 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.
Author : David F Groebner
Publisher :
ISBN 13 : 9780132077095
Total Pages : pages
Book Rating : 4.0/5 (77 download)
Download or read book Student Value Edition for Business Statistics written by David F Groebner and published by . This book was released on 2008-07-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.
Author : Nagraj (Raju) Balakrishnan
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501506315
Total Pages : 1009 pages
Book Rating : 4.5/5 (15 download)
Download or read book Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-08-07 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Author : T. Agami Reddy
Publisher : Springer Science & Business Media
ISBN 13 : 1441996133
Total Pages : 446 pages
Book Rating : 4.4/5 (419 download)
Download or read book Applied Data Analysis and Modeling for Energy Engineers and Scientists written by T. Agami Reddy and published by Springer Science & Business Media. This book was released on 2011-08-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
Author : Ignacio Castillo
Publisher : John Wiley & Sons
ISBN 13 : 1119983223
Total Pages : 850 pages
Book Rating : 4.1/5 (199 download)
Download or read book Business Statistics for Contemporary Decision Making written by Ignacio Castillo and published by John Wiley & Sons. This book was released on 2023-05-08 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.
Author : Robert A. Stine
Publisher : Pearson Higher Ed
ISBN 13 : 1292036567
Total Pages : 942 pages
Book Rating : 4.2/5 (92 download)
Download or read book Statistics for Business: Decision Making and Analysis written by Robert A. Stine and published by Pearson Higher Ed. This book was released on 2014-05-23 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Were you looking for the book with access to MyStatLab? This product is the book alone, and does NOT come with access to MyStatLab. Buy the book and access card package to save money on this resource. In Statistics for Business: Decision Making and Analysis, authors Robert Stine and Dean Foster of the University of Pennsylvania’s Wharton School, take a sophisticated approach to teaching statistics in the context of making good business decisions. The authors show students how to recognize and understand each business question, use statistical tools to do the analysis, and how to communicate their results clearly and concisely. In addition to providing cases and real data to demonstrate real business situations, this text provides resources to support understanding and engagement. A successful problem-solving framework in the 4-M Examples (Motivation, Method, Mechanics, Message) model a clear outline for solving problems, new What Do You Think questions give students an opportunity to stop and check their understanding as they read, and new learning objectives guide students through each chapter and help them to review major goals. Software Hints provide instructions for using the most up-to-date technology packages. The Second Edition also includes expanded coverage and instruction of Excel® 2010 and the XLSTAT™ add-in. The MyStatLab™ course management system includes increased exercise coverage with the Second Edition, along with 100% of the You Do It exercises and a library of 1,000 Conceptual Questions that require students to apply their statistical understanding to conceptual business scenarios. Business Insight Videos show students how statistical methods are used by real businesses, and new StatTalk Videos present statistical concepts through a series of fun, brief, real-world examples. Technology tutorial videos at the exercise level support software use.
Author : Shuai Huang
Publisher : CRC Press
ISBN 13 : 1000372456
Total Pages : 274 pages
Book Rating : 4.0/5 (3 download)
Download or read book Data Analytics written by Shuai Huang and published by CRC Press. This book was released on 2021-04-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models. It has many small datasets to guide students to work out pencil solutions of the models and then compare with results obtained from established R packages. Also, as data science practice is a process that should be told as a story, in this book there are many course materials about exploratory data analysis, residual analysis, and flowcharts to develop and validate models and data pipelines. The main models covered in this book include linear regression, logistic regression, tree models and random forests, ensemble learning, sparse learning, principal component analysis, kernel methods including the support vector machine and kernel regression, and deep learning. Each chapter introduces two or three techniques. For each technique, the book highlights the intuition and rationale first, then shows how mathematics is used to articulate the intuition and formulate the learning problem. R is used to implement the techniques on both simulated and real-world dataset. Python code is also available at the book’s website: http://dataanalyticsbook.info.
Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author : Luiz Paulo Fávero
Publisher : Academic Press
ISBN 13 : 0128112174
Total Pages : 1240 pages
Book Rating : 4.1/5 (281 download)
Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero and published by Academic Press. This book was released on 2019-04-11 with total page 1240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs
Author : Hector Guerrero
Publisher : Springer Science & Business Media
ISBN 13 : 3642108350
Total Pages : 353 pages
Book Rating : 4.6/5 (421 download)
Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does the World Need—Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can’t tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.
Author : Jeffrey Hillsman Moore
Publisher :
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.F/5 ( download)
Download or read book Decision Modeling with Microsoft Excel written by Jeffrey Hillsman Moore and published by . This book was released on 2001 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Premium Solver for Education -- Solver Table add-in software -- Extend LT 4.0 (simulation software) -- TreePlan -- GLP, a graphic visualization program -- Excel templates for in-text examples.
Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 322 pages
Book Rating : 4.4/5 (919 download)
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Author : Robert Andrews
Publisher : eBookIt.com
ISBN 13 : 145660323X
Total Pages : 148 pages
Book Rating : 4.4/5 (566 download)
Download or read book Understanding Statistics as a Language written by Robert Andrews and published by eBookIt.com. This book was released on 2011-05 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done. It uses a statistical decision model that is easy to understand and apply. Each chapter leads the student through one stats test using Minitab. The book helps the student understand which stat to use and what the results mean to a business person.
Author : Vernon Barrett
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781546418443
Total Pages : 82 pages
Book Rating : 4.4/5 (184 download)
Download or read book Data Analytics written by Vernon Barrett and published by Createspace Independent Publishing Platform. This book was released on 2017-05 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics - A Comprehensive Beginner's Guide The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the concept of data mining methods and models along with the applications. It then goes into detail on other aspects of Big Data analytics, such as clustering, incremental learning, multi-label association and knowledge representation. The readers are also made familiar with business analytics to create value. The book finally ends with a discussion on the areas where research can be explored. The book is designed for the senior level undergraduate, and postgraduate students of computer science and engineering. Here Is A Preview Of What Inside The Book: Big data Statistics in practice Descriptive and Inferential Statistics Parameters and Statistics Statistical data analysis Variables SUMMARY OF THE GENERAL METHOD OF DECISION ANALYSIS ANOTHER DECISION TREE MODEL AND ITS ANALYSIS Making Data Work for You Predictive Modeling Techniques Take Action Today and Learn Data Analytics in no time! Click the "Buy now with 1-Click" to the right and get this guide immediately.
Author : Phillip I. Good
Publisher : John Wiley & Sons
ISBN 13 : 1118211278
Total Pages : 231 pages
Book Rating : 4.1/5 (182 download)
Download or read book Common Errors in Statistics (and How to Avoid Them) written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
