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Advanced Log-Linear Models Using SAS [Pehme köide]

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  • Formaat: Paperback / softback, 202 pages, kõrgus x laius x paksus: 280x210x10 mm, kaal: 468 g, 1, black & white illustrations
  • Ilmumisaeg: 02-Oct-2002
  • Kirjastus: SAS Publishing
  • ISBN-10: 159047080X
  • ISBN-13: 9781590470800
Teised raamatud teemal:
Advanced Log-Linear Models Using SASSuurem pilt
  • Formaat: Paperback / softback, 202 pages, kõrgus x laius x paksus: 280x210x10 mm, kaal: 468 g, 1, black & white illustrations
  • Ilmumisaeg: 02-Oct-2002
  • Kirjastus: SAS Publishing
  • ISBN-10: 159047080X
  • ISBN-13: 9781590470800
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781590470800.html
Märksõnad:
Preface v
Acknowledgments ix
Discrete Distributions
1(18)
Introduction
1(1)
The Binomial Distribution
2(6)
The Poisson Distribution
8(3)
The Multinomial Distribution
11(1)
Negative Binomial and Negative Multinomial Distributions
12(7)
Basic Log-Linear Models and the GENMOD Procedure
19(34)
Introduction
19(1)
Log-Linear Models for a 2 x 2 Table
19(11)
Log-Linear Models in Higher Dimensions
30(8)
Residuals for Log-Linear Models
38(2)
Tests of Statistical Significance
40(5)
The Likelihood Function
45(8)
Ordered Categorical Variables
53(16)
Introduction
53(1)
Log-Linear Models with One Ordered Category
53(6)
Two Cross-Classified Ordered Categories
59(10)
Non-Rectangular Tables
69(16)
Introduction
69(1)
Independence in a Triangular Table
69(3)
Interactions in a Circular Table
72(7)
Bradley-Terry Model for Pairwise Comparisons
79(6)
Poisson Regression
85(16)
Introduction
85(2)
Poisson Regression for Mortality Data
87(5)
Poisson Regression with Overdispersion
92(9)
Finite Population Size Estimation
101(10)
Introduction
101(1)
A Small Example
101(4)
A Larger Number of Lists
105(6)
Truncated Poisson Regression
111(18)
Introduction
111(1)
Mathematical Background
112(5)
Truncated Poisson Models with Covariates
117(2)
An Example with Overdispersion
119(2)
Diagnostics and Options
121(8)
The Hypergeometric Distribution
129(20)
Introduction
129(2)
Derivation of the Distribution
131(5)
Extended Hypergeometric Distribution
136(3)
Hypergeometric Regression
139(5)
Comparing Several 2 x 2 Tables
144(5)
Sample Size Estimation and Power for Log-Linear Models
149(24)
Introduction
149(1)
Background Theory
149(5)
Power for a 2 x 2 Table
154(7)
Sample Size for an Interaction
161(6)
Power for a Known Sample Size
167(6)
A The Output Delivery System 173(4)
B Programming Statements for Generalized Linear Models 177(4)
C Additional Readings 181(2)
References 183(2)
Index 185