Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory - Image 1

£359.95

Wiley Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory

Name: Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory
Brand: Wiley
Price: 359.95 GBP
Availability: InStock

Probability & Statistics

About as cheap as it gets. The only time it was cheaper was 3 months ago.

£360 today · all-time low £358 (Feb 2026) · usually £370

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 70 days • 70 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 70 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £374 (27 days, 38.6%)

Price range: £358 - £374

Price levels: 6 different prices over 70 days

Description

Set that includes three works covering statistical decision theory and analysis The three books within this set are Optimal Statistical Decisions, Bayesian Inference in Statistical Analysis, and Applied Statistical Decision Theory. Optimal Statistical Decisions discusses the theory and methodology of decision-making in the field. The volume stands as a clear introduction to Bayesian statistical decision theory. A second book, Bayesian Inference in Statistical Analysis, examines the application and relevance of Bayes' theorem to problems that occur during scientific investigations, where inferences must be made regarding parameter values about which little is known. Key aspects of the Bayesian approach are discussed, including the choice of prior distribution, the problem of nuisance parameters, and the role of sufficient statistics. Applied Statistical Decision Theory covers the development of analytic techniques in the field of statistical decision theory. This classic book was first published in the 1960s. About the Author Morris DeGroot (now deceased) was a great statistician and gentleman of the 20th Century. Says friend and coworker Joseph B. ("Jay") Kadane of DeGroot in the Foreword. He was an institutional builder, as founder of the Statistics Department at Carnegie Mellon University and as first Executive Editor of Statistical Science. He was a wonderful colleague and friend, always ready for a chat about principles, a research problem, a departmental problem, a reference, or personal advice. George E. P. Box, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin, Madison. His lifelong work has defined statistical analysis, while his name and research is a part of some of the most influential statistical constructs, including Box & Jenkins models, Box & Cox transformations, and Box & Behnken designs. Dr. Box is the coauthor of a number of Wiley books, including most recently, Statistical Control by Monitoring and Adjustment, Second Edition; Response Surfaces, Mixtures, and Ridge Analyses, Second Edition; and Improving Almost Anything: Ideas and Essays, Revised Edition.Norman R. Draper is professor emeritus at the University of Wisconsin, Madison, in the Department of Statistics. His research interests include Experimental Design, Linear Models, and Nonlinear Estimation.Howard Raiffa was an American academic who was the Frank P. Ramsey Professor of Managerial Economics, a joint chair held by the Business School and the Kennedy School of Government at Harvard University.Robert Schlaifer is the author of Applied Statistical Decision Theory, published by Wiley.

Product Specifications

Brand: Wiley
Format: paperback
ASIN: 047168788X
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 15 August 2006
Listed Since: 02 January 2007

Barcode

No barcode data available

Wiley Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory

About as cheap as it gets. The only time it was cheaper was 3 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Practical Decision Analysis with DecisionTools

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to Business Analytics Using Simulation

Robust Regression: Analysis and Applications: 108 (Statistics: A Series of Textbooks and Monographs)

Modern Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)

Advances in the Theory and Practice of Statistics: A Volume in Honor of Samuel Kotz (Wiley Series in Probability and Statistics. Applied Probability and statistIcs)

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)

Frontiers in Statistical Quality Control 11

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

Sample Size Choice: Charts for Experiments with Linear Models, Second Edition: 122 (Statistics: A Series of Textbooks and Monographs)

An Introduction to Measure-theoretic Probability

A Statistical Guide for the Ethically Perplexed

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Sage Publications - Presenting Statistical Results Effectively

Goodness-of-Fit Tests and Model Validity (Statistics for Industry and Technology)

R Programming: Statistical Data Analysis in Research

Understanding Regression Analysis: A Conditional Distribution Approach

Springer - Data Analysis and Classification Book

Understanding Regression Analysis: A Conditional Distribution Approach

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)