135,17 €
150,19 €
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Model Based Inference in the Life Sciences
Model Based Inference in the Life Sciences
135,17
150,19 €
  • We will send in 10–14 business days.
This textbook introduces a science philosophy called information theoretic based on Kullback-Leibler information theory. It focuses on a science philosophy based on multiple working hypotheses and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are however expected to have a background in genera…
150.19
  • Publisher:
  • ISBN-10: 0387740732
  • ISBN-13: 9780387740737
  • Format: 15.5 x 23.1 x 1.5 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Model Based Inference in the Life Sciences (e-book) (used book) | bookbook.eu

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This textbook introduces a science philosophy called information theoretic based on Kullback-Leibler information theory. It focuses on a science philosophy based on multiple working hypotheses and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

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  • Author: David R Anderson
  • Publisher:
  • ISBN-10: 0387740732
  • ISBN-13: 9780387740737
  • Format: 15.5 x 23.1 x 1.5 cm, minkšti viršeliai
  • Language: English English

This textbook introduces a science philosophy called information theoretic based on Kullback-Leibler information theory. It focuses on a science philosophy based on multiple working hypotheses and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

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