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Statistical Models in S

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance;

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Statistics for Toxicologists

statistical models used and their applications in a general fashion. The book overviews the problems that can arise from the blind use of the;

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Statistics for Toxicologists

statistical models used and their applications in a general fashion. The book overviews the problems that can arise from the blind use of the;

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Statistical Inference For Models With Multivariate T-Distrib

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for;

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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Linear Statistical Models

Praise for the First Edition This impressive and eminently readable text ...[is] a welcome addition to the statistical literature. -The;

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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Linear Models

Linear Models: An Integrated Approach aims to provide a clear and deep understanding of the general linear model using simple statistical;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;

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Statistical Methods in Customer Relationship Management

Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies;

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Advanced R Statistical Programming and Data Models

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Models in Statistical Social Research

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical;

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Models in Statistical Social Research

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical;

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Statistical Models in Toxicology

Statistical Models in Toxicology presents an up-to-date and comprehensive account of statistical theory topics that occur in toxicology;

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Statistical Models in Toxicology

Statistical Models in Toxicology presents an up-to-date and comprehensive account of statistical theory topics that occur in toxicology;

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Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata;

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Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata;

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DNA, Words and Models

function. One approach consists in determining whether a particular word is simply random or is of statistical significance, for example, because;

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Statistical Computation for Environmental Sciences in R

complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Models for Probability and Statistical Inference

graphs produced by the statistical package S-Plus(r) are included to help build the intuition of readers.;

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