Regression And Other Stories

Regression And Other Stories

Regression And Other Stories

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

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Product Details :

Genre : Business & Economics
Author : Andrew Gelman
Publisher : Cambridge University Press
Release : 2020-07-31
Total Pages : 560 Pages
ISBN : 9781107023987


Regression And Other Stories

Regression And Other Stories

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

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Product Details :

Genre : Mathematics
Author : Andrew Gelman
Publisher : Cambridge University Press
Release : 2020-07-23
Total Pages : Pages
ISBN : 9781108907354


Data Analysis Using Regression And Multilevel Hierarchical Models

Data Analysis Using Regression And Multilevel Hierarchical Models

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

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Product Details :

Genre : Mathematics
Author : Andrew Gelman
Publisher : Cambridge University Press
Release : 2007
Total Pages : 625 Pages
ISBN : 052168689X


Teaching Statistics

Teaching Statistics

Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

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Product Details :

Genre : Mathematics
Author : Andrew Gelman
Publisher : OUP Oxford
Release : 2002-08-08
Total Pages : 429 Pages
ISBN : 9780191606991


Regression Modeling Strategies

Regression Modeling Strategies

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

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Product Details :

Genre : Mathematics
Author : Frank E. Harrell
Publisher : Springer Science & Business Media
Release : 2013-03-09
Total Pages : 572 Pages
ISBN : 9781475734621


Regression Analysis

Regression Analysis

Richard Berk identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.

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Product Details :

Genre : Social Science
Author : Richard A. Berk
Publisher : SAGE
Release : 2004
Total Pages : 259 Pages
ISBN : 0761929045


Regression And Other Stories

Regression And Other Stories

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

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Product Details :

Genre : Mathematics
Author : Andrew Gelman
Publisher : Cambridge University Press
Release : 2020-07-23
Total Pages : 560 Pages
ISBN : 1107676517


Advanced Regression Models With Sas And R

Advanced Regression Models With Sas And R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors. Features: Presents the theoretical framework for each regression. Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical. Uses examples based on real-life consulting projects. Provides complete SAS and R codes for each example. Includes several exercises for every regression. Advanced Regression Models with SAS and R is designed as a text for an upper division undergraduate or a graduate course in regression analysis. Prior exposure to the two software packages is desired but not required. The Author: Olga Korosteleva is a Professor of Statistics at California State University, Long Beach. She teaches a large variety of statistical courses to undergraduate and master’s students. She has published three statistical textbooks. For a number of years, she has held the position of faculty director of the statistical consulting group. Her research interests lie mostly in applications of statistical methodology through collaboration with her clients in health sciences, nursing, kinesiology, and other fields.

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Product Details :

Genre : Mathematics
Author : Olga Korosteleva
Publisher : CRC Press
Release : 2018-12-07
Total Pages : 14 Pages
ISBN : 9781351690072


A Student S Guide To Bayesian Statistics

A Student S Guide To Bayesian Statistics

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference Understanding Bayes' rule Nuts and bolts of Bayesian analytic methods Computational Bayes and real-world Bayesian analysis Regression analysis and hierarchical methods This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.

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Product Details :

Genre : Reference
Author : Ben Lambert
Publisher : SAGE
Release : 2018-04-20
Total Pages : 520 Pages
ISBN : 9781526418265


Causal Inference

Causal Inference

An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences "Causation versus correlation has been the basis of arguments--economic and otherwise--since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It's rare that a book prompts readers to expand their outlook; this one did for me."--Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied--for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.

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Product Details :

Genre : Business & Economics
Author : Scott Cunningham
Publisher : Yale University Press
Release : 2021-01-26
Total Pages : 584 Pages
ISBN : 9780300251685