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Chapman and Hall/CRC Monographs on Statistics and Applied Probability Ser.:...
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Located in: Spring Hill, Florida, United States
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eBay item number:226142463469
Item specifics
- Condition
- Very Good
- Seller Notes
- “From private estate. In excellent condition.”
- ISBN
- 9780412317606
- Subject Area
- Mathematics
- Publication Name
- Generalized Linear Models
- Item Length
- 9.3 in
- Publisher
- CRC Press LLC
- Subject
- Probability & Statistics / General
- Series
- Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
- Publication Year
- 1989
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.3 in
- Item Width
- 6.3 in
- Item Weight
- 29.7 Oz
- Number of Pages
- 532 Pages
About this product
Product Information
The bestselling second edition of this outstanding text remains popular today for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. It provides a definitive unified, treatment of methods for the analysis of diverse types of data. The authors focus on the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. With its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0412317605
ISBN-13
9780412317606
eBay Product ID (ePID)
1307024
Product Key Features
Publication Name
Generalized Linear Models
Format
Hardcover
Language
English
Subject
Probability & Statistics / General
Series
Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Publication Year
1989
Type
Textbook
Subject Area
Mathematics
Number of Pages
532 Pages
Dimensions
Item Length
9.3 in
Item Height
1.3 in
Item Width
6.3 in
Item Weight
29.7 Oz
Additional Product Features
Edition Number
2
LCCN
99-013896
Intended Audience
College Audience
Series Volume Number
37
Lc Classification Number
Qa276.M38 1999
Grade from
College Freshman
Volume Number
Vol. 37
Edition Description
Revised Edition,New Edition
Table of Content
Preface Introduction Background The Origins of Generalized Linear Models Scope of the Rest of the Book An Outline of Generalized Linear Models Processes in Model Fitting The Components of a Generalized Linear Model Measuring the goodness of Fit Residuals An Algorithm for Fitting Generalized Linear Models Models for Continuous Data with Constant Variance Introduction Error Structure Systematic Component (Linear Predictor) Model Formulae for Linear Predictors Aliasing Estimation Tables as Data Algorithms for Least Squares Selection of Covariates Binary Data Introduction Binomial Distribution Models for Binary Responses Likelihood functions for Binary Data Over-Dispersion Example Models for Polytomous Data Introduction Measurement scales The Multinomical Distribution Likelihood Functions Over-Dispersion Examples Log-Linear Models Introduction Likelihood Functions Examples Log-Linear Models and Multinomial Response Models Multiple responses Example Conditional Likelihoods Introduction Marginal and conditional Likelihoods Hypergeometric Distributions Some Applications Involving Binary data Some Aplications Involving Polytomous Data Models with Constant Coefficient of Variation Introduction The Gamma Distribution Models with Gamma-distributed Observations Examples Quasi-Likelihood Functions Introduction Independent Observations Dependent Observations Optimal Estimating Functions Optimality Criteria Extended Quasi-Likelihood Joint Modelling of Mean and Dispersion Introduction Model Specification Interaction between Mean and Dispersion Effects Extended Quasi-Likelihood as a Criterion Adjustments of the Estimating Equations Joint Optimum Estimating Equations Example: The Production of Leaf-Springs for Trucks Models with Additional Non-Linear Parameters Introduction Parameters in the Variance function Parameters in the Link Function Nonlinear Parameters in the Covariates Examples Model Checking Introduction Techniqes in Model Checking Score Tests for Extra Parameters Smoothing as an Aid to Informal Checks The Raw Materials of Model Checking Checks for systematic Departure from Model Check for isolated Departures from the Model Examples A Strategy for Model Checking? Models for Survival Data Introduction Proportional-Hazards Models Estimation with a Specified Survival distribution Example: Remission Times for Leukemia Cox's Proportional-Hazards Model Components of Dispersion Introduction Linear Models Nonlinear Models Parameter Estimation Example: A Salamander mating Experiment Further Topics Introduction Bias Adjustment Computation of Bartlett Adjustments Generalized Additive Models Appendices Elementary Likelihood Theory Edgeworth Series Likelihood-Ratio Statistics References Index of Data Sets Author Index Subject Index Each chapter also contains Bibliographic Notes and Exercises
Copyright Date
1989
Illustrated
Yes
Item description from the seller
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eBay item number:226142463469
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