Fundamentals of Statistical Inference

Konstantin M. Zuev ()
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Konstantin M. Zuev: California Institute of Technology, Department of Computing and Mathematical Sciences

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2026
ISBN: 978-3-032-03848-7
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Chapters in this book:

Ch 1 Summarizing Data

Konstantin M. Zuev

Ch 2 Populations, Samples, and Inference

Konstantin M. Zuev

Ch 3 Modeling and Inference: A Big Picture

Konstantin M. Zuev

Ch 4 Nonparametric Estimation of the CDF and the Plug-In Principle

Konstantin M. Zuev

Ch 5 The Jackknife Method

Konstantin M. Zuev

Ch 6 The Bootstrap Method

Konstantin M. Zuev

Ch 7 The Method of Moments

Konstantin M. Zuev

Ch 8 The Method of Maximum Likelihood

Konstantin M. Zuev

Ch 9 Hypothesis Testing: A General Framework

Konstantin M. Zuev

Ch 10 Popular Statistical Tests

Konstantin M. Zuev

Ch 11 Simple Linear Regression

Konstantin M. Zuev

Ch 12 Multiple Linear Regression

Konstantin M. Zuev

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DOI: 10.1007/978-3-032-03848-7

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