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- Author: Bill Thompson
- Publisher: Springer
- ISBN-10: 0387400508
- ISBN-13: 9780387400501
- Format: 16.7 x 23.3 x 0.8 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
This book has substantial implications for all users of Statistical methods. Its purpose is to discuss whether statistical methods make sense. That is a fair question, at the heart of the statistician-client relationship, but put so boldly it may arouse anger. The many books entitled something like Foundations of Statistics avoid controversy by merely describing the various methods without explaining why certain conclusions may be drawn from certain data. To avoid a duel, we prejudge the issue and ask the narrower question: In what sense do statistical methods provide scientific evidence? The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions.
EXTRA 10 % discount with code: EXTRA
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- Author: Bill Thompson
- Publisher: Springer
- ISBN-10: 0387400508
- ISBN-13: 9780387400501
- Format: 16.7 x 23.3 x 0.8 cm, minkšti viršeliai
- Language: English English
This book has substantial implications for all users of Statistical methods. Its purpose is to discuss whether statistical methods make sense. That is a fair question, at the heart of the statistician-client relationship, but put so boldly it may arouse anger. The many books entitled something like Foundations of Statistics avoid controversy by merely describing the various methods without explaining why certain conclusions may be drawn from certain data. To avoid a duel, we prejudge the issue and ask the narrower question: In what sense do statistical methods provide scientific evidence? The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions.
Reviews