Statistical Inference Based on the likelihood
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A01=Adelchi Azzalini
Adelchi Azzalini
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Author_Adelchi Azzalini
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Category=PBT
classical statistical theory applications
data analysis techniques
Density Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Equivalent Likelihoods
Exact MLE
exam
exponential
Exponential Families
family
Frequency Table
function
GLM Class
hypothesis testing
Indian record
Likelihood Function
Likelihood Principle
Linear Independence
Linear Predictor
Log Linear Models
LRT
LRT Statistic
maximum likelihood estimation
minimal
Minimal Sufficient Statistic
Newton Raphson Algorithm
Parametric Class
parametric inference
ple
Poisson Regression Model
probability distributions
random
Random Variable
Regular Exponential Families
Relative Likelihood
Sample Space
Saturated Model
Statistical Inference
statistical modeling
sufficient
variable
Product details
- ISBN 9780412606502
- Weight: 810g
- Dimensions: 156 x 234mm
- Publication Date: 01 Jun 1996
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.
Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
