Model Selection and Inference : A Practical Information-Theoretic Approach /
We wrote this book to introduce graduate students and research workers in var ious scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. In its fully developed form, the information-theoretic approach allows inference based on more than one model (...
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| வடிவமà¯: | பà¯à®¤à¯à®¤à®•ம௠|
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
New York, NY :
Springer New York : Springer,
1998.
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கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•ள௠இலà¯à®²à¯ˆ, இநà¯à®¤ கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯à®²à¯ˆ à®®à¯à®¤à®²à®¿à®²à¯ பதிவ௠செயà¯à®¯à¯à®™à¯à®•ளà¯!
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பொரà¯à®³à®Ÿà®•à¯à®•à®®à¯:
- 1 Introduction
- 2 Information Theory and Log-Likelihood Models: A Basis for Model Selection and Inference
- 3 Practical Use of the Information-Theoretic Approach
- 4 Model-Selection Uncertainty with Examples
- 5 Monte Carlo and Example-Based Insights
- 6 Statistical Theory
- 7 Summary
- References.


