Alvin Rencher C. Linear Models in Statistics
Купить за 17198.91 RUR
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear
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Paul Stewart W. Linear Model Theory
Купить за 14188.74 RUR
A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models
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Группа авторов Linear Models
Купить за 12779.26 RUR
An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind
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Marvin H. J. Gruber Matrix Algebra for Linear Models
Купить за 11174.48 RUR
A 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 and its related applications to statistics, especially linear models. The book provides a unified
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Thomas Mathew Statistical Tests for Mixed Linear Models
Купить за 18699.07 RUR
An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random
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Alan Agresti Foundations of Linear and Generalized Linear Models
Купить за 12000.4 RUR
A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad,
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Douglas C. Montgomery Generalized Linear Models
Купить за 14940.89 RUR
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 to read. Every statistician working in any area of applied science should buy it and experience the
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Kairat Mynbaev T. Short-Memory Linear Processes and Econometric Applications
Купить за 13393.2 RUR
This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic
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Marvin H. J. Gruber Linear Models
Купить за 14537.37 RUR
Provides 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. Considerable rewriting was done to make the book more reader friendly than the first edition.
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Frederick Tinsley Introduction to Linear Models and Statistical Inference
Купить за 15781.42 RUR
A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple
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Mun Eun-Young Log-Linear Modeling. Concepts, Interpretation, and Application
Купить за 12192.43 RUR
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 Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the
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Eva Cantoni Robust Methods in Biostatistics
Купить за 12001.44 RUR
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the
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