181,70 €
201,89 €
-10% with code: EXTRA
Meta Analysis
181,70 € 
- We will send in 10–14 business days.
Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary…
201.89
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- Author: Elena Kulinskaya
- Publisher: Wiley-Interscience
- ISBN-10: 0470028645
- ISBN-13: 9780470028643
- Format: 15.4 x 22.6 x 1.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.
This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
EXTRA 10 % discount with code: EXTRA
181,70 €
201,89 €
We will send in 10–14 business days.
The promotion ends in 22d.20:14:18
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Elena Kulinskaya
- Publisher: Wiley-Interscience
- ISBN-10: 0470028645
- ISBN-13: 9780470028643
- Format: 15.4 x 22.6 x 1.6 cm, minkšti viršeliai
- Language: English English
Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.
The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.
This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.
This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
Reviews