£91.23

Time Series: A Biostatistical Introduction (Oxford Statistical Science Series)

Applied Mathematics

Price data last checked 148 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

About as cheap as it gets. The only time it was cheaper was 7 months ago.

£91 today · all-time low £90 (Oct 2025) · usually the usual

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 134 days • 134 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 134 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £90 (91 days, 67.9%)

Price range: £90 - £95

Price levels: 6 different prices over 134 days

Description

Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computational tools. Methodology that was originally developed for specialized applications, for example in finance or geophysics, is now widely available within general statistical packages. The second edition of Time Series: A Biostatistical Introduction is an introductory account of time series analysis, written from the perspective of applied statisticians whose interests lie primarily in the biomedical and health sciences. This edition has a stronger focus on substantive applications, in which each statistical analysis is directed at a specific research question. Separate chapters cover simple descriptive methods of analysis, including time-plots, smoothing, the correlogram and the periodogram; theory of stationary random processes; discrete-time models for single series; continuous-time models for single series; generalized linear models for time series of counts; models for replicated series; spectral analysis, and bivariate time series. The book is unique in its focus on biomedical and health science applications, which has been strengthened in this second edition. Nevertheless, the methods described are more widely applicable. It should be useful to teachers and students on masters-level degree courses in statistics, biostatistics and epidemiology, and to biomedical and health scientists with a knowledge of statistical methods at undergraduate level. Throughout, examples based on real datasets show a close interplay between statistical method and substantive science. This book will also describe the implementation of the methods in the R computing environment and provide access to R code and datasets.

Product Specifications

Format: hardcover
ASIN: 0198714831
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 24 December 2024
Listed Since: 13 December 2024

Barcode

No barcode data available

Time Series: A Biostatistical Introduction (Oxford Statistical Science Series)

About as cheap as it gets. The only time it was cheaper was 7 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Time Series: A Biostatistical Introduction (Oxford Statistical Science Series, No. 5)

Time-Series Analysis: A Comprehensive Introduction for Social Scientists

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Time Series Analysis with Long Memory in View (Wiley Series in Probability and Statistics)

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

The Analysis of Time Series: Theory and Practice (Monographs on Statistics and Applied Probability)

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Long-Memory Time Series: Theory and Methods (Wiley Series in Probability and Statistics)

State-Space Methods for Time Series Analysis: Theory, Applications and Software (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)

An Introduction to State Space Time Series Analysis (Practical Econometrics)

Models for Dependent Time Series (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Springer - Selected Works of David Brillinger - Statistics Book

Time Series Econometrics: Learning Through Replication (Springer Texts in Business and Economics)

Statistical Computing: An Introduction to Data Analysis using S-Plus

Time Series for Economics and Finance

Multivariate Time Series Analysis and Applications (Wiley Series in Probability and Statistics)

Time Series Analysis

Time Series Analysis: Univariate and Multivariate Methods

Linear Time Series with MATLAB and OCTAVE (Statistics and Computing)