Электронная книга: Sanford Weisberg «Applied Linear Regression»

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 provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition,Applied Linear Regression, Fourth Edition features: Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics Newly added material on topics including testing, ANOVA, and variance assumptions Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781118789551

электронная книга

Купить за 10810.32 руб и скачать на Litres

Другие книги схожей тематики:

АвторКнигаОписаниеГодЦенаТип книги
Shayle Searle R.Linear ModelsProvides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical linear models that is useful in the analysis of data… — John Wiley&Sons Limited, электронная книга Подробнее...
11582.49электронная книга
Raymond Myers H.Generalized Linear Models. with Applications in Engineering and the SciencesPraise 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...
11891.64электронная книга
Roberto RiveraApplications of Regression Models in EpidemiologyA 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...
10424.97электронная книга
Marvin H. J. GruberMatrix Algebra for Linear ModelsA self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory… — John Wiley&Sons Limited, электронная книга Подробнее...
8802.98электронная книга
Peter GoosStatistics with JMP: Hypothesis Tests, ANOVA and RegressionStatistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A… — John Wiley&Sons Limited, электронная книга Подробнее...
5802.23электронная книга
Marilena FurnoQuantile Regression. Estimation and SimulationContains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based… — John Wiley&Sons Limited (USD), электронная книга Подробнее...
9833.97электронная книга
Mun Eun-YoungLog-Linear Modeling. Concepts, Interpretation, and ApplicationAn 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...
10302.26электронная книга
Jussi Klemelä SakariMultivariate Nonparametric Regression and Visualization. With R and Applications to FinanceA modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization… — John Wiley&Sons Limited, электронная книга Подробнее...
8879.91электронная книга
Mohammad ArashiTheory of Ridge Regression Estimation with ApplicationsA guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a… — John Wiley&Sons Limited, электронная книга Подробнее...
12175.39электронная книга
Другие книги по запросу «Applied Linear Regression» >>

См. также в других словарях:

  • 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

  • Regression dilution — is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… …   Wikipedia

  • regression — regression, regression analysis A term used originally to describe the fact that if, for example, parents and children s weights are measured, the children s weights tend to be closer to the average than are those of their parents: unusually… …   Dictionary of sociology

  • Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …   Wikipedia

  • Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …   Wikipedia

  • Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»