Statistical Modelling Using Genstat,9780340759851

Statistical Modelling Using Genstat

by ; ;
ISBN13: 9780340759851
ISBN10: 0340759852
Format: Paperback
Pub. Date: 1999-10-01
Publisher(s): Wiley
  • Free Shipping Icon

    Receive Free Shipping To The More Store!*

    *Marketplace items do not qualify for the free shipping promotion.

List Price: $75.00

Rent Textbook

Select for Price
Add to Cart
There was a problem. Please try again later.

New Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

Buy from our Marketplace starting at $9.90

How Marketplace Works:

  • This item is offered by an independent seller and not shipped from our warehouse
  • Item details like edition and cover design may differ from our description; see seller's comments before ordering.
  • Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
  • Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
  • Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.

Summary

This core text is a self-contained course in statistics, covering both the general linear model (including regression and analysis of variance) and the generalized linear model. The authors review the prerequisite methods and ideas in a concise and clear way, and the material is application-oriented, with the software package GENSTAT for Windows integrated into the text. The basics of GENSTAT are introduced, then used in conjunction with a review of simple linear regression, moving on to more sophisticated analyses, such as multiple linear regression, analysis of variance, logistic regression and loglinear modelling. The final chapter consists of four data analysis case studies using techniques drawn from the whole of the book.

Table of Contents

Preface ix
Introduction
1(12)
What methods will this book cover?
2(2)
Exploring an interesting dataset
4(7)
A brief outline of the book
11(2)
Review of statistical concepts
13(30)
The normal distribution
13(8)
Basic attributes
13(2)
Data and the normal distribution
15(4)
Transforming to normality
19(2)
Some distributional properties
21(1)
Confidence intervals
21(3)
Confidence interval for the mean of a normal distribution; Student's t distribution
22(2)
Hypothesis testing
24(6)
The one-sample t test
25(3)
The two sample t test
28(2)
Chi-squared and F distributions
30(2)
The χ2 distribution
30(1)
The F distribution
31(1)
Bernoulli, binomial and Poisson distributions
32(4)
The Bernoulli distribution
32(1)
The binomial distribution
33(1)
The Poisson distribution
34(2)
Maximum likelihood estimation
36(2)
The central limit theorem
38(2)
Categorical and quantitative variables
40(3)
Introduction to GENSTAT
43(22)
Getting started
43(6)
Loading, storing, retrieving and manipulating data
49(5)
Summaries and graphics
54(6)
Using the help system
60(3)
Searching for help on a topic
60(1)
Genstat Language Reference
61(1)
The help system
62(1)
Some useful hints about GENSTAT
63(2)
Linear regression with one explanatory variable
65(38)
The simple linear regression model
65(6)
Fitting lines and making inferences
71(7)
Confidence intervals and prediction
78(5)
Checking the assumptions
83(4)
Transformations
87(6)
Comparing slopes
93(3)
A look forward
96(1)
Correlation
97(6)
One-way analysis of variance
103(34)
Regression with a continuous response variable and a categorical explanatory variable
103(7)
One-way ANOVA: data and model
110(6)
The completely randomized experiment
110(3)
The basic one-way analysis of variance model
113(3)
Testing for equality of means
116(7)
Checking the model
123(6)
Differences between treatments
129(5)
Planned comparisons and contrasts
129(4)
Unplanned comparisons
133(1)
A final example
134(3)
Multiple linear regression
137(32)
Using the model
138(7)
Choosing explanatory variables
145(11)
Parallels with the case of one explanatory variable
156(3)
Using indicator variables I: comparing regression lines
159(4)
Using indicator variables II: analysis of variance
163(6)
The analysis of factorial experiments
169(28)
Two-way factorial analysis of variance
169(12)
The basics: main effects and interactions
169(8)
Developing the methods
177(4)
More than two factors
181(5)
Using regression
186(6)
Factorial ANOVA without replication
192(5)
Experiments with blocking
197(28)
Blocking
197(11)
Paired data
198(2)
More than two units per block
200(8)
More complicated blocking
208(7)
Latin squares
208(3)
Incomplete block designs
211(4)
Factorial experiments with incomplete blocks
215(7)
Split plot designs
216(3)
Confounding
219(3)
Designing experiments
222(3)
Binary regression
225(22)
The logistic function
226(6)
The logistic regression model
232(2)
Using the logistic regression model
234(7)
Exercises in logistic regression
241(6)
What are generalized linear models?
247(26)
Poisson regression
247(5)
The generalized linear model
252(2)
Inference for GLMs
254(6)
A short history of GLMs
260(1)
Some more GLM applications
261(12)
Mixing insecticides
261(4)
Toxoplasmosis and rainfall
265(1)
Survival of leukaemia patients
266(2)
Janka hardness revisited
268(5)
Diagnostic checking
273(20)
Leverage
273(5)
The Cook statistic
278(4)
Diagnostics for generalized linear models
282(9)
Residuals for generalized linear models
283(5)
Detection of observations with high leverage or influence
288(3)
Recommended use of model diagnostics
291(2)
Loglinear models for contingency tables
293(24)
Two-way contingency tables
294(3)
Sampling models
297(6)
Loglinear models in practice
303(10)
Logistic and loglinear models
313(4)
Further data analyses
317(18)
Agglomeration of alumina
317(4)
Prostatic cancer
321(3)
Ground cover and apple trees
324(4)
Epileptic seizures
328(7)
Postscript 335(6)
Ordinal responses
335(1)
Smoothing: generalized additive models
336(2)
Censoring in survival data
338(3)
Solutions to the Exercises 341(156)
Chapter 1
343(2)
Chapter 2
345(6)
Chapter 3
351(8)
Chapter 4
359(20)
Chapter 5
379(12)
Chapter 6
391(16)
Chapter 7
407(14)
Chapter 8
421(16)
Chapter 9
437(12)
Chapter 10
449(14)
Chapter 11
463(12)
Chapter 12
475(10)
Chapter 13
485(12)
Index of datasets 497(2)
Subject index 499

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.