Applied Statistics Applied Statistics
Chapman & Hall/CRC Texts in Statistical Science

Applied Statistics

Handbook of GENSTAT Analysis

    • ¥8,400
    • ¥8,400

Publisher Description

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis.

The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.

GENRE
Science & Nature
RELEASED
2021
December 16
LANGUAGE
EN
English
LENGTH
136
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
16.8
MB
Design and Analysis of Experiments, Volume 3 Design and Analysis of Experiments, Volume 3
2011
Experimental Statistics Experimental Statistics
2013
Statistical Data Analytics Statistical Data Analytics
2015
Modern Industrial Statistics Modern Industrial Statistics
2021
Data Analysis and Applications 1 Data Analysis and Applications 1
2019
Analyzing the Large Number of Variables in Biomedical and Satellite Imagery Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
2011
Randomization, Bootstrap and Monte Carlo Methods in Biology Randomization, Bootstrap and Monte Carlo Methods in Biology
2020
Statistics in Survey Sampling Statistics in Survey Sampling
2025
Exercises and Solutions in Probability and Statistics Exercises and Solutions in Probability and Statistics
2025
Stationary Stochastic Processes Stationary Stochastic Processes
2012
Exercises in Statistical Reasoning Exercises in Statistical Reasoning
2025
Linear Models with R Linear Models with R
2025