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INSTITUTE MATHEMATICAL STATISTICS TEXTBOOKS: CORE STATS

Mathematics

Mathematics & Science

Probability & Statistics

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>Based on a starter course for beginning graduate students, this book provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.</P>

Core Statistics

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Core Statistics.
Institute of Mathematical Statistics Textbooks.
Title Page.
Copyright Page.
Contents.
Preface.
1: Random Variables.
2: Statistical Models and Inference.
3: R.
4: Theory of Maximum Likelihood Estimation.
5: Numerical Maximum Likelihood Estimation.
6: Bayesian Computation.
7: Linear Models.
Some Distributions.
Matrix Computation.
Random Number Generation.
References.
Index.

Core Statistics.css-1p8rvzy{position:absolute;padding-left:8px;}

Core Statistics