Modern Applied Statistics with S (Statistics and Computing) - Image 1

£48.17

Springer Modern Applied Statistics with S (Statistics and Computing)

Name: Modern Applied Statistics with S (Statistics and Computing)
Brand: Springer
Price: 48.17 GBP
Availability: InStock

Beginners & Introduction

This is the usual price. Wait for it to drop, or tell us your number.

£48 today · usual range £0–£0 · best ever £33

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 626 days • 626 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 626 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £33-55 (265 days, 42.3%)

Price range: £33 - £140

Price levels: 5 price ranges over 626 days

Description

S is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S environments to perform statistical analyses and provides both an introduction to the use of S and a course in modern statistical methods. Implementations of S are available commercially in S-PLUS(R) workstations and as the Open Source R for a wide range of computer systems. The aim of this book is to show how to use S as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-PLUS or R and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state of the art approaches to topics such as linear, nonlinear and smooth regression models, tree-based methods, multivariate analysis, pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, non-parametric smoothing and bootstrapping are used where appropriate. This fourth edition is intended for users of S-PLUS 6.0 or R 1.5.0 or later. A substantial change from the third edition is updating for the current versions of S-PLUS and adding coverage of R. The introductory material has been rewritten to emphasis the import, export and manipulation of data. Increased computational power allows even more computer-intensive methods to be used, and methods such as GLMMs,

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0387954570
Category: Books > Subjects > Computing & Internet > Databases > Beginners & Introduction
Domain: Amazon UK
Release Date: 12 August 2002
Listed Since: 22 December 2006

Barcode

No barcode data available

Springer Modern Applied Statistics with S (Statistics and Computing)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

A Handbook of Statistical Analyses Using S-PLUS

Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS (Springer Texts in Statistics)

Introductory Statistics with R (Statistics and Computing)

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R

Nonparametric Statistical Methods: Solution Manual

Mathematical Statistics with Resampling and R

Essential Medical Statistics: 11

Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

Chapman and Hall/CRC Statistical Analytics for Health Data Science

A Handbook of Statistical Analyses Using S-PLUS

Elsevier Handbook of Statistics: Computational Statistics with R

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

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)

Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Statistical Methods for Business and Economics

Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather

Linear Mixed Models: A Practical Guide Using Statistical Software

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)

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