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Knill Oliver: Probability Theory And
Stochastic Processes With Applications

Probability Theory And Stochastic Processes With Applications

Number Systems: A Path into Rigorous Mathematics aims to introduce number systems to an undergraduate audience in a way that emphasises the importance of rigour, and with a focus on providing detailed but accessible explanations of theorems and their proofs.

A Path into Rigorous Mathematics

Number Systems

Chapman & Hall/CRC Biostatistics Series

Age-Period-Cohort Models

Accelerated life tests (ALTs) have become an indispensable tool for reliability engineers to quantify a product's reliability, and for product managers to make product release decisions. However, there are many common misuses of ALTs and misinterpretations of their results. This book provides a framework for the proper design and analysis of ALTs. It compares ALTs with other industrial testing experiments, and provides guidance on their appropriate application. It features lots of examples using real data from industrial experiments, and provides statistical software for their implementation. It can be used as a textbook for students of reliability, or as a reference for practitioners

Design and Analysis of Accelerated Life Tests

Theory, Methods, and Computation

Elements of Stochastic Finance

This textbook offers a concise but self-contained introduction to the art of numerical modelling in sciences. It discusses all the steps, from the mathematical foundations of the model to the solution procedures that are commonly used by advanced practitioners.

Introduction to Numerical Modeling in the Earth Sciences

Chapman & Hall/CRC The Python Series

Python for Mathematics introduces readers to effective methods for doing mathematics using the Python programming language

Python for Mathematics

Franz Buscha's book, Graphs Everyone Should Know and How to Create Them in Stata, is for anyone who uses Stata to make graphs. Beginners will find a complete collection of tools for effectively visualizing their data and results. Experienced Stata users are certain to learn some new tricks as well.

Graphs Everyone Should Know and How to Create Them in Stata

Provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages.

A Practical Introduction

Bayesian Meta-Analysis

Meta-analysis Using R

The Converse of Bayes Theorem with Applications

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Intended to provide a nearly comprehensive account of methods, theory, applications, as well as open problems related to robust SAE, that the monograph will help persuade practitioners, such as those in government agencies, to more readily adopt robust SAE methods.

Methods, Theory, Applications, and Open Problems

Robust Small Area Estimation

Probability Theory And Stochastic Processes With Applications

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