Электронная книга: Iain Pardoe «Applied Regression Modeling»
Praise for the First Edition«The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful.» —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling,Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presentedmaterial. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118345023 электронная книга Купить за 10064.21 руб и скачать на Litres |
Другие книги схожей тематики:
Автор | Книга | Описание | Год | Цена | Тип книги |
---|---|---|---|---|---|
Sanford Weisberg | Applied Linear Regression | Praise for the Third Edition«…this is an excellent book which could easily be used as a course text…» —International Statistical Institute The Fourth Edition of Applied Linear Regression… — John Wiley&Sons Limited, электронная книга Подробнее... | 10810.32 | электронная книга | |
Stanley Lemeshow | Applied Logistic Regression | A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to… — John Wiley&Sons Limited, электронная книга Подробнее... | 11119.48 | электронная книга | |
Shmueli Galit | Modeling Online Auctions | Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats… — John Wiley&Sons Limited, электронная книга Подробнее... | 10614.45 | электронная книга | |
Roberto Rivera | Applications of Regression Models in Epidemiology | A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and… — John Wiley&Sons Limited, электронная книга Подробнее... | 10424.97 | электронная книга | |
Jonas Hall | Mathematical Modeling. Applications with GeoGebra | A logical problem-based introduction to the use of GeoGebra for mathematical modeling and problem solving within various areas of mathematics A well-organized guide to mathematical modeling… — John Wiley&Sons Limited, электронная книга Подробнее... | 9652.07 | электронная книга | |
Mun Eun-Young | Log-Linear Modeling. Concepts, Interpretation, and Application | An easily accessible introduction to log-linear modeling for non-statisticians Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear… — John Wiley&Sons Limited, электронная книга Подробнее... | 10302.26 | электронная книга | |
Raymond Myers H. | Generalized Linear Models. with Applications in Engineering and the Sciences | Praise for the First Edition«The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy… — John Wiley&Sons Limited, электронная книга Подробнее... | 11891.64 | электронная книга | |
Thomas Lumley | Complex Surveys. A Guide to Analysis Using R | A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data… — John Wiley&Sons Limited, электронная книга Подробнее... | 7020.36 | электронная книга | |
Antonios Alexandridis K. | Wavelet Neural Networks. With Applications in Financial Engineering, Chaos, and Classification | A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the… — John Wiley&Sons Limited, электронная книга Подробнее... | 7953.16 | электронная книга |
См. также в других словарях:
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… … Wikipedia
Marketing mix modeling — is a term of art for the use of statistical analysis such as multivariate regressions on sales and marketing time series data to estimate the impact of various marketing tactics on sales and then forecast the impact of future sets of tactics. It… … Wikipedia
Outline of regression analysis — In statistics, regression analysis includes any technique for learning about the relationship between one or more dependent variables Y and one or more independent variables X. The following outline is an overview and guide to the variety of… … Wikipedia
Nonparametric regression — is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… … Wikipedia