ABSTRACT

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as

chapter 1|10 pages

Introduction

chapter 2|44 pages

Probability Concepts

chapter 3|28 pages

Sampling Concepts

chapter 4|34 pages

Generating Random Variables

chapter 5|70 pages

Exploratory Data Analysis

chapter 6|46 pages

Finding Structure

chapter 8|28 pages

Data Partitioning

chapter 9|62 pages

Probability Density Estimation

chapter 10|68 pages

Supervised Learning

chapter 11|40 pages

Unsupervised Learning

chapter 12|42 pages

Parametric Models

chapter 13|62 pages

Nonparametric Models

chapter 14|42 pages

Markov Chain Monte Carlo Methods

chapter 15|46 pages

Spatial Statistics