Statistical Theory: 22 (Chapman & Hall/CRC Texts in Statistical Science)

Statistical Inference (Chapman & Hall/CR

📁 Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

✍ George Casella, Roger Berger 📂 Library 📅 2024 🏛 Chapman and Hall/CRC 🌐 English

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and

Statistical Inference (Chapman & Hall/CR

📁 Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

✍ George Casella, Roger Berger 📂 Library 📅 2024 🏛 Chapman and Hall/CRC 🌐 English

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and

Probability and Statistical Inference (C

📁 Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

✍ Miltiadis C. Mavrakakis; Jeremy Penzer 📂 Library 📅 2021 🏛 CRC Press 🌐 English

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrif

Time Series (Chapman & Hall/CRC Texts in

📁 Time Series (Chapman & Hall/CRC Texts in Statistical Science)

✍ Robert Shumway, David Stoffer 📂 Library 📅 2019 🏛 Routledge 🌐 English

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applica

Applied Statistics: Principles and Examp

📁 Applied Statistics: Principles and Examples (Chapman & Hall CRC Texts in Statistical Science)

✍ D.R. Cox, E.J. Snell 📂 Library 📅 1981 🏛 Chapman & Hall\/CRC 🌐 English

An Introduction to Nonparametric Statist

📁 An Introduction to Nonparametric Statistics (Chapman & Hall/CRC Texts in Statistical Science)

✍ John E. Kolassa 📂 Library 📅 2020 🏛 Chapman and Hall/CRC 🌐 English

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well.