£57.77

Springer Correlated Data Analysis - Springer Series in Statistics

Name: Springer Correlated Data Analysis - Springer Series in Statistics
Brand: Springer
Price: 57.77 GBP
Availability: InStock

6531342

Applied Mathematics

It has never been this cheap. We have no record of a lower price.

£58 today · cheaper than every other day in the last 3 months

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 24 days · 24 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 24 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £64 (13 days, 54.2%)

Price range: £58 - £71

Price levels: 3 different prices over 24 days

Description

Expand your mathematical knowledge with Correlated Data Analysis: Modeling, Analytics, and Applications. Part of the prestigious Springer Series in Statistics, this book provides a deep look into the field of longitudinal data analysis. The text is rooted in academic excellence, reflecting the author's journey from a PhD student at the University of British Columbia to a specialist in the field. It covers the foundational concepts and applications that drive modern statistical research. Whether you are a student, researcher, or professional in applied mathematics, this volume offers the theoretical depth and practical perspective needed to understand complex data modeling. This book serves as a significant resource for those studying the statistical methods used to analyze data sets where observations are not independent. It is an essential addition to any library focused on science, nature, and mathematics.

Key Features

Part of the Springer Series in Statistics, ensuring high academic standards and professional quality for researchers.

Focuses on longitudinal data analysis, a vital area for modern statistical modeling and mathematical research.

Provides a comprehensive look at modeling and analytics within the field of applied mathematics.

Developed from foundational academic research and professional collaboration in the statistics community.

Ideal for PhD students and professionals seeking to deepen their understanding of correlated data sets.

Product Specifications

Brand: Springer
Model: 6531342
Format: hardcover
ASIN: 0387713921
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 27 July 2007
Listed Since: 16 March 2007

Barcode

No barcode data available

Springer Correlated Data Analysis - Springer Series in Statistics

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Sage Correlation and Regression for I/O Psychology and Management

Correlation And Dependence

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Modern Applied U-Statistics (Wiley Series in Probability and Statistics)

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates (Emerging Topics in Statistics and Biostatistics)

Quasi-Least Squares Regression: 132 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Longitudinal Categorical Data Analysis (Springer Series in Statistics)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Joint Modeling of Longitudinal and Time-to-Event Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Joint Modeling of Longitudinal and Time-to-Event Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Applied Meta-Analysis with R and Stata - CRC Press Book

Applied Meta-Analysis with R and Stata (Chapman & Hall/CRC Biostatistics Series)

The SAGE Handbook of Regression Analysis and Causal Inference

Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Analyzing Longitudinal Clinical Trial Data: A Practical Guide (Chapman & Hall/CRC Biostatistics Series)

Statistik verstehen und sinnvoll nutzen: Anwendungsorientierte Einführung Für Wirtschaftler