Ergebnisse für: Probability & Mathematical Statistics
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This book bridges the latest software applications with the benefits of modern resampling techniques
Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply mo...
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. R...
Praise for the First Edition
". an excellent textbook. well organized and neatly written."
--Mathematical Reviews
". amazingly interesting."
--Technometrics
Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statis...
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material....
Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results"
Special emphases on simulation and discrete decision theory
Mathematically-rich, but self-contained text, ...
Approximation Theorems of Mathematical Statistics
This convenient paperback edition makes a seminal text instatistics accessible to a new generation of students andpractitioners. Approximation Theorems of Mathematical Statisticscovers a broad range of limit theorems useful in mathematicalstatistics,...
This book bridges the latest software applications with thebenefits of modern resampling techniques
Resampling helps students understand the meaning of samplingdistributions, sampling variability, P-values, hypothesis tests,and confidence intervals. This groundbreaking book shows how toapply modern ...
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises
With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplic...
This book bridges the latest software applications with thebenefits of modern resampling techniques
Resampling helps students understand the meaning of samplingdistributions, sampling variability, P-values, hypothesis tests,and confidence intervals. This groundbreaking book shows how toapply modern ...
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises
With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplic...
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. R...
An introduction to the mathematical theory and financialmodels developed and used on Wall Street
Providing both a theoretical and practical approach to theunderlying mathematical theory behind financial models, Measure,Probability, and Mathematical Finance: A Problem-OrientedApproach presents import...
An introduction to the mathematical theory and financialmodels developed and used on Wall Street
Providing both a theoretical and practical approach to theunderlying mathematical theory behind financial models, Measure,Probability, and Mathematical Finance: A Problem-OrientedApproach presents import...