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Texts in statistical science

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Chapman & Hall
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24 cm
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First published by London : Chapman & Hall, second published by Boca Raton : Chapman & Hall/CRC, 1999Other publisher: Chapman & Hall/CRC, CRC Press/Ta...

Related materials as well as pre- and post-revision versions

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Table of Contents

  • Statistical methods in agriculture and experimental biology

  • Modeling and analysis of stochastic systems

  • Modern data science with R

  • Elementary applications of probability theory : with an introduction to stochastic differential equations

  • Modeling and analysis of stochastic systems

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Paper

Material Type
図書
Publication, Distribution, etc.
Size
24 cm
Alternative Title
Chapman & Hall texts in statistical science series
Chapman & Hall/CRC texts in statistical science series
Place of Publication (Country Code)
uk
Target Audience
一般
Note (General)
First published by London : Chapman & Hall, second published by Boca Raton : Chapman & Hall/CRC, 1999
Other publisher: Chapman & Hall/CRC, CRC Press/Taylor & Francis Group
Related Material
Statistical methods in agriculture and experimental biology
Modeling and analysis of stochastic systems
Modern data science with R
Elementary applications of probability theory : with an introduction to stochastic differential equations
Modeling and analysis of stochastic systems
Bayesian data analysis
Analysis of failure and survival data
Time series analysis
Nonlinear times series : theory, methods, and applications with R examples
Practical multivariate analysis
Statistics in human genetics and molecular biology
Introduction to randomized controlled clinical trials
An introduction to generalized linear models
An introduction to generalized linear models
Introduction to multivariate analysis
Stochastic processes : an introduction
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Stochastic processes : from applications to theory
Epidemiology : study design and data analysis
Applied Bayesian forecasting and time series analysis
Bayesian ideas and data analysis : an introduction for scientists and statisticians
Principles of uncertainty
Statistics for epidemiology
Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
An introduction to generalized linear models
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Understanding advanced statistical methods
Spatio-temporal methods in environmental epidemiology
Design of experiments : an introduction based on linear models
Practical data analysis for designed experiments
Introduction to multivariate analysis : linear and nonlinear modeling
Discrete data analysis with R : visualization and modeling techniques for categorical and count data
Bayesian data analysis
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An introduction to statistical inference and its applications with R
Elements of simulation
Introduction to the theory of statistical inference
Richly parameterized linear models : additive, time series, and spatial models using random effects
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Introduction to general and generalized linear models
Stationary stochastic processes : theory and applications
Introduction to probability
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Sampling methodologies : with applications
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Introduction to statistical methods for financial models
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Exercises and solutions in biostatistical theory
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Mathematical statistics : basic ideas and selected topics
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Surrogates : Gaussian process modeling, design, and optimization for the applied sciences
An introduction to nonparametric statistics
Beyond multiple linear regression : applied generalized linear models and multilevel models in R
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Introduction to statistical limit theory
Theory of statistical inference
Fundamentals of causal inference : with R
A first course in linear model theory
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