£41.99

Oxford University Press - A Bayesian Tutorial 2E Data Analysis

Name: Oxford University Press - A Bayesian Tutorial 2E Data Analysis
Brand: Oxford University Press
Price: 41.99 GBP
Availability: InStock

Higher Education

This is the most expensive it has ever been. Walk away.

£42 today · previous high £42 · all-time low £38

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 90 days · 90 data points

Historical

Generating forecast…

Price Distribution

Price distribution over 90 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £41 (31 days, 34.4%)

Price range: £38 - £42

Price levels: 5 different prices over 90 days

Description

Statistics lectures can often lead to confusion and frustration for many students. This textbook by Oxford University Press provides a logical and unified approach to the entire subject of data analysis, serving as an effective remedy for those struggling with traditional methods. Designed as a tutorial guide, it is specifically intended for senior undergraduates and research students working within the fields of science and engineering. The book begins by explaining the fundamental principles of Bayesian probability theory. To ensure clarity, these concepts are illustrated through a wide range of practical examples. These applications span from elementary parameter estimation to more advanced areas such as image processing. By following this structured tutorial, readers can build a solid foundation in Bayesian methods and apply them to complex real-world problems. This text is an essential resource for students and researchers looking to master data analysis through a cohesive, theoretical, and practical framework.

Key Features

Provides a logical and unified approach to the whole subject of data analysis to reduce student frustration.

Acts as a practical tutorial guide specifically designed for senior undergraduates and research students.

Covers fundamental principles of Bayesian probability theory to build a strong mathematical foundation.

Includes diverse examples ranging from elementary parameter estimation to advanced image processing.

Explores advanced topics such as reliability analysis and multivariate studies for engineering and science students.

Product Specifications

Brand: Oxford University Press
Format: paperback
ASIN: 0198568320
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 01 June 2006
Listed Since: 12 January 2007

Barcode

No barcode data available

Oxford University Press - A Bayesian Tutorial 2E Data Analysis

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

The Statistical Analysis of Small Data Sets

Practical Bayesian Inference: A Primer for Physical Scientists

Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers: 5 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5)

Introduction to Computer-Intensive Methods of Data Analysis in Biology

Introduction to Bayesian Statistics

Bayesian Essentials with R (Springer Texts in Statistics)

Bayesian Data Analysis for the Behavioral and Neural Sciences: Non-Calculus Fundamentals

Large Sample Techniques for Statistics (Springer Texts in Statistics)

Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science)

Statistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers

Multiscale Modeling: A Bayesian Perspective (Springer Series in Statistics)

Bayesian Cognitive Modeling: A Practical Course

Essential Statistics for the Pharmaceutical Sciences, 2nd Edition

A Mathematical Primer for Social Statistics (Quantitative Applications in the Social Sciences)

Statistics for Business and Economics: Compendium of Essential Formulas

Analysis of Microdata

Bayesian Estimation of DSGE Models (The Econometric and Tinbergen Institutes Lectures)

Biostatistics for Medical and Biomedical Practitioners

Bayesian Reliability (Springer Series in Statistics)

Probability and Statistical Inference, Second Edition (Statistics: A Series of Textbooks and Monographs)

Data Mining: Foundations and Intelligent Paradigms: VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects: 24 (Intelligent Systems Reference Library, 24)

Bayesian Inference: Data Evaluation and Decisions

Biopharmaceutical Applied Statistics Symposium: Volume 2 Biostatistical Analysis of Clinical Trials (ICSA Book Series in Statistics)

Bayesian Methods in Cosmology