The Application of Probability Theory / edited by Olga Moreira.

Format:

Book

Contributor:

Moreira, Olga, editor.

Language:

English

Subjects (All):

Probabilistic number theory.

Statistics.

Physical Description:

1 online resource (401 pages)

Edition:

First edition.

Place of Publication:

Burlington, ON : Arcler Press, [2024]

Summary:

This book presents a comprehensive exploration of probability theory and its practical applications across various disciplines, including statistics, data analysis, machine learning, artificial intelligence, medical and health sciences, natural language processing, information retrieval, and engineering. It delves into the core principles of probability theory, such as sample space, events, probability distributions, and the distinction between frequentist and Bayesian approaches. The book also examines the role of probability theory in addressing challenges in diverse fields like clinical trials, language modeling, and reliability analysis. Edited by Olga Moreira, a scholar in astrophysics and applied mathematics, the book aims to inspire further research and deepen understanding of probability theory's significance. Generated by AI.

Contents:

Cover

HalfTitle Page

Title Page

Copyright

Declaration

About the Editor

Table of Contents

List of Contributors

List of Abbreviations

Preface

Chapter 1: Introduction

References

Chapter 2: Missing Data Approaches for Probability Regression Models with Missing Outcomes with Applications

Abstract

Introduction

Missing Data Approaches

Method Comparisons And Asymptotic Results

Poisson Regression Using The Automated Data With Missing Outcomes

Estimation Using The Automated Data

A Simulation Study

An Application

Conclusions

Acknowledgements

Chapter 3: Maximum Likelihood Estimation for Three-Parameter Weibull Distribution Using Evolutionary Strategy

Maximum Likelihood Estimation for Three-parameter Weibull Distribution

Evolution Optimization

Results and Discussion Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781774699805

177469980X

OCLC:

1446132024