The three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special …
This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to …
This market leading text is appropriate for courses that teach statistical methods for describing and analyzing multivariate data in depts. …
This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide …
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an …
Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to …
Based on lectures given by the author, this book focuses on providing reliable introductory explanations of key concepts of quantum …
This is the fifth, expanded edition of the comprehensive textbook published in 1990 on the theory and applications of path …
This text is one of a series of volumes whose goal is to provide a picture of the state-of-the-art in …
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, …
The book is OK but it falls behind other available texts at comparable or lower prices. I agree with others …
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation …
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and …
Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, …
This text is a self-contained and unified treatment of matrix differential calculus, specifically written for econometricians and statisticians. It can …
A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes …
This major new textbook is intended for students taking introductory courses in probability theory and statistical inference. The primary objective …
Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has …
Probability and Statistical Inference, Second Edition is a user-friendly book that stresses the comprehension of concepts instead of the simple …
This paperback reprint of the classic work on statistical inference remains highly applicable to statistical analysis. The purpose of this …
This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach …
The present book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. …
This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve …
This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems …
This textbook differs from others in the field in that it has been prepared very much with students and their …
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. …
More than ever, American industry-especially the semiconductor industry-is using statistical methods to improve its competitive edge in the world market. …
The marriage between Lean Manufacturing and Six Sigma has proven to be a powerful tool for cutting waste and improving …
This results-driven, meticulously written guide from top Six Sigma expert Alastair Muir provides direct access to powerful mathematical tools, real-life …
Art, or Science? Which of these is the right way to think of the field of visualization? This is not …
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest …
