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Exact Analysis of Discrete Data
A01=Karim F. Hirji
Adjacent Categories Model
asymptotic
Asymptotic Score
Asymptotic Tests
Author_Karim F. Hirji
biostatistics applications
Bivariate Polynomial
categorical data analysis
Category=PBT
conditional
Conditional Analysis
Conditional Distribution
Conditional Independence
Conditional Score
contingency table techniques
COR Model
Cross Product Ratio
Discrete Data
distribution
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
evidence
Evidence Function
Exact Analysis
Exact Conditional Distributions
Exact Power
Exact Power Computation
exact statistical methods
Exact Test
functions
Log Odds Ratio
LR Statistic
matched case-control studies
Negative Binomial
Nuisance Parameters
odds
Odds Ratios Model
ratio
sample
Sample Space
score
small sample inference
space
sparse data statistical modeling
Tail Probability
Wald Statistic
Product details
- ISBN 9781584880707
- Weight: 2130g
- Dimensions: 178 x 254mm
- Publication Date: 18 Nov 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or the data are otherwise sparse, exact methods--methods not based on asymptotic theory--are more accurate and therefore preferable.
This book introduces the statistical theory, analysis methods, and computation techniques for exact analysis of discrete data. After reviewing the relevant discrete distributions, the author develops the exact methods from the ground up in a conceptually integrated manner. The topics covered range from univariate discrete data analysis, a single and several 2 x 2 tables, a single and several 2 x K tables, incidence density and inverse sampling designs, unmatched and matched case -control studies, paired binary and trinomial response models, and Markov chain data. While most chapters focus on statistical theory and applications, three chapters deal exclusively with computational issues. Detailed worked examples appear throughout the book, and each chapter includes an extensive problem set.
Written at an elementary to intermediate level, Exact Analysis of Discrete Data is accessible to anyone having taken a basic course in statistics or biostatistics, bringing to them valuable material previously buried in specialized journals.
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