Philosophy of Statistics.
(eBook)

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Published:
North Holland, 2011.
Format:
eBook
ISBN:
9780444518620, 0444518622, 9780080930961, 0080930964
Physical Desc:
1 online resource (1260).
Status:
Ebsco (CCU)
Description

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy this by providing research in the area of philosophy of statistics by encouraging experts to communicate with one another without feeling 'restricted' by their disciplines.

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APA Citation (style guide)

Prasanta S. Bandyopadhyay. (2011). Philosophy of Statistics. North Holland.

Chicago / Turabian - Author Date Citation (style guide)

Prasanta S. Bandyopadhyay. 2011. Philosophy of Statistics. North Holland.

Chicago / Turabian - Humanities Citation (style guide)

Prasanta S. Bandyopadhyay, Philosophy of Statistics. North Holland, 2011.

MLA Citation (style guide)

Prasanta S. Bandyopadhyay. Philosophy of Statistics. North Holland, 2011.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English
UPC:
9780444518620

Notes

Description
Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy this by providing research in the area of philosophy of statistics by encouraging experts to communicate with one another without feeling 'restricted' by their disciplines.
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Last File Modification TimeMar 06, 2024 09:34:20 PM
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4901 |a Handbook of the Philosophy of Science Ser.
5050 |a Philosophy of Statistics: An Introduction / Malcolm R. Forster -- pt. I Probability & Statistics -- Elementary Probability and Statistics: A Primer / Steve Cherry -- pt. II Philosophical Controversies about Conditional Probability -- Conditional Probability / Alan Hajek -- The Varieties of Conditional Probability / Kenny Easwaran -- pt. III Four Paradigms of Statistics -- Classical Statistics Paradigm -- Error Statistics / Aris Spanos -- Significance Testing / Davis Baird -- Bayesian Paradigm -- The Bayesian Decision-Theoretic Approach to Statistics / Paul Weirich -- Modern Bayesian Inference: Foundations and Objective Methods / Jose M. Bernardo -- Evidential Probability and Objective Bayesian Epistemology / Jon Williamson -- Confirmation Theory / James Hawthorne -- Challenges to Bayesian Confirmation Theory / John D. Norton -- Bayesianism as a Pure Logic of Inference / Colin Howson.
5058 |a Bayesian Inductive Logic, Verisimilitude, and Statistics / Roberto Festa -- Likelihood Paradigm -- Likelihood and its Evidential Framework / Jeffrey D. Blume -- Evidence, Evidence Functions, and Error Probabilities / Subhash R. Lele -- Akaikean Paradigm -- AIC Scores as Evidence -- a Bayesian Interpretation / Elliott Sober -- pt. IV The Likelihood Principle -- The Likelihood Principle / Jason Grossman -- pt. V Recent Advances in Model Selection -- AIC, BIC and Recent Advances in Model Selection / Jayanta K. Ghosh -- Posterior Model Probabilities / A. Philip Dawid -- pt. VI Attempts to Understand Different Aspects of "Randomness" -- Defining Randomness / Deborah Bennett -- Mathematical Foundations of Randomness / Abhijit Dasgupta -- pt. VII Probabilistic and Statistical Paradoxes -- Paradoxes of Probability / Susan Vineberg -- Statistical Paradoxes: Take It to The Limit / C. Andy Tsao -- pt. VIII Statistics and Inductive Inference.
5058 |a Statistics as Inductive Inference / Jan-Willem Romeijn -- pt. IX Various Issues about Causal Inference -- Common Cause in Causal Inference / Peter Spirtes -- The Logic and Philosophy of Causal Inference: A Statistical Perspective / Sander Greenland -- pt. X Some Philosophical Issues Concerning Statistical Learning Theory -- Statistical Learning Theory as a Framework for the Philosophy of Induction / Sanjeev Kulkarni -- Testability and Statistical Learning Theory / Daniel Steel -- pt. XI Different Approaches to Simplicity Related to Inference and Truth -- Luckiness and Regret in Minimum Description Length Inference / Peter D. Grunwald -- MML, Hybrid Bayesian Network Graphical Models, Statistical Consistency, Invariance and Uniqueness / David L. Dowe -- Simplicity, Truth and Probability / Kevin T. Kelly -- pt. XII Special Problems in Statistics/Computer Science -- Normal Approximations / Robert J. Boik -- Stein's Phenomenon / Cidambi Srinivasan.
5058 |a Data, Data, Everywhere: Statistical Issues in Data Mining / Choh Man Teng -- pt. XIII An Application of Statistics to Climate Change -- An Application of Statistics in Climate Change: Detection of Nonlinear Changes in a Streamflow Timing Measure in the Columbia and Missouri Headwaters / Johnnie Moore -- pt. XIV Historical Approaches to Probability/Statistics -- The Subjective and the Objective / Sandy L. Zabell -- Probability in Ancient India / C.K. Raju.
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