By Alan Agresti
Amstat News requested 3 assessment editors to cost their most sensible 5 favourite books within the September 2003 factor. Categorical info Analysis used to be between these selected.
A helpful re-creation of a regular reference
"A 'must-have' e-book for a person watching for to do study and/or purposes in specific facts analysis."
-Statistics in drugs on specific facts Analysis, First variation
The use of statistical equipment for express facts has elevated dramatically, quite for functions within the biomedical and social sciences. Responding to new advancements within the box in addition to to the desires of a brand new iteration of execs and scholars, this re-creation of the vintage Categorical facts Analysis deals a entire advent to crucial equipment for express information research.
Designed for statisticians and biostatisticians in addition to scientists and graduate scholars practising information, Categorical info Analysis, moment variation summarizes the most recent tools for univariate and correlated multivariate specific responses. Readers will discover a unified generalized linear types method that connects logistic regression and Poisson and unfavorable binomial regression for discrete facts with basic regression for non-stop facts. including to the worth within the re-creation is assurance of:
3 new chapters on equipment for repeated dimension and different kinds of clustered express info, together with marginal types and linked generalized estimating equations (GEE) tools, and combined types with random results content material:
Chapter 1 creation: Distributions and Inference for express info (pages 1–35):
Chapter 2 Describing Contingency Tables (pages 36–69):
Chapter three Inference for Contingency Tables (pages 70–114):
Chapter four creation to Generalized Linear versions (pages 115–164):
Chapter five Logistic Regression (pages 165–210):
Chapter 6 construction and utilising Logistic Regression types (pages 211–266):
Chapter 7 Logit types for Multinomial Responses (pages 267–313):
Chapter eight Loglinear versions for Contingency Tables (pages 314–356):
Chapter nine development and lengthening Loglinear/Logit types (pages 357–408):
Chapter 10 versions for Matched Pairs (pages 409–454):
Chapter eleven reading Repeated specific reaction facts (pages 455–490):
Chapter 12 Random results: Generalized Linear combined types for express Responses (pages 491–537):
Chapter thirteen different mix types for express facts (pages 538–575):
Chapter 14 Asymptotic thought for Parametric types (pages 576–599):
Chapter 15 replacement Estimation conception for Parametric versions (pages 600–618):
Chapter sixteen old travel of express facts research (pages 619–631):
Read Online or Download Categorical Data Analysis, Second Edition PDF
Best data mining books
The post-genomic revolution is witnessing the iteration of petabytes of information each year, with deep implications ranging throughout evolutionary thought, developmental biology, agriculture, and disorder strategies. information Mining for structures Biology: tools and Protocols, surveys and demonstrates the technology and expertise of changing an unparalleled info deluge to new wisdom and organic perception.
Statistics and speculation checking out are commonly utilized in components (such as linguistics) which are usually now not mathematically in depth. In such fields, while confronted with experimental info, many scholars and researchers are inclined to depend upon advertisement programs to hold out statistical info research, usually with no knowing the good judgment of the statistical exams they depend upon.
Biometric approach and information research: layout, assessment, and information Mining brings jointly facets of facts and computer studying to supply a entire advisor to guage, interpret and comprehend biometric info. This expert booklet obviously ends up in issues together with facts mining and prediction, broadly utilized to different fields yet no longer conscientiously to biometrics.
This publication introduces the most recent considering at the use of huge facts within the context of city platforms, together with examine and insights on human habit, city dynamics, source use, sustainability and spatial disparities, the place it grants more desirable making plans, administration and governance within the city sectors (e.
- Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
- Freemium Economics. Leveraging Analytics and User Segmentation to Drive Revenue
- Data Structures and Algorithms (Software Engineering and Knowledge Engineering, 13)
- Data Mining with SQL Server 2005
- The Domain Theory: Patterns for Knowledge and Software Reuse
- Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics
Additional resources for Categorical Data Analysis, Second Edition
J To eliminate redundancies, we treat L as a function of Ž 1 , . . , since c s 1 y Ž 1 q иии qcy1 .. Thus, ѨcrѨ j s y1, j s 1, . . , c y 1. Since Ѩ log c Ѩ j 1 Ѩc s c Ѩ j 1 sy c , differentiating LŽ . with respect to j gives the likelihood equation Ѩ LŽ . Ѩ j s nj j y nc c s0. The ML solution satisfies ˆ jrˆc s n jrn c . Now ˆc Ý ˆ j s 1 s j žÝ / nj j nc s ˆc n nc , so ˆc s n crn and then ˆ j s n jrn. , this solution does maximize the likelihood. Thus, the ML estimates of Ä j 4 are the sample proportions.
6 . In fact, the odds ratio is equally valid for prospective, retrospective, or cross-sectional sampling designs. The sample odds ratio estimates the same parameter in each case. For cell counts Ä n i j 4 , the sample odds ratio is ˆs n11 n 22 rn12 n 21 . This does not change when both cell counts within any row are multiplied by a nonzero constant or when both cell counts within any column are multiplied by a nonzero constant. An implication is that the sample odds ratio 46 DESCRIBING CONTINGENCY TABLES estimates the same characteristic Ž .
R2 differences Ä j y k 4 Žsee Fitzpatrick and Scott 1987; Goodman 1965.. Categorical Data Analysis, Second Edition. Alan Agresti Copyright ¶ 2002 John Wiley & Sons, Inc. ISBN: 0-471-36093-7 CHAPTER 2 Describing Contingency Tables In this chapter we introduce tables that display relationships between categorical variables. We also define parameters that summarize their association. 2 are used to compare groups on the proportions of responses in the outcome categories. The odds ratio has special importance, appearing as a parameter in models discussed later.