1.

Record Nr.

UNINA9910789440403321

Titolo

Philosophy of statistics [[electronic resource] /] / edited by Prasanta S. Bandyopadhyay, Malcolm R. Forster

Pubbl/distr/stampa

Oxford, U.K., : Elsevier, 2011

ISBN

1-283-13396-2

9786613133960

0-08-093096-4

Edizione

[1st ed.]

Descrizione fisica

1 online resource (1253 p.)

Collana

Handbook of the philosophy of science, , 0031-8019 ; ; v. 7

Altri autori (Persone)

BandyopadhyayPrasanta S

ForsterMalcolm R

Disciplina

519

519.501

Soggetti

Mathematical statistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. 1. Probability & statistics -- pt. 2. Philosophical controversies about conditional probability -- pt. 3. Four paradigms of statistics -- pt. 4. The likelihood principle -- pt. 5. Recent advances in model selection -- pt. 6. Attempts to understand different aspects of 'randomness' -- pt. 7. Probabilistic and statistical paradoxes -- pt. 8. Statistics and inductive inference -- pt. 9. Various issues about causal inference -- pt. 10. Some philosophical issues concerning statistical learning theory -- pt. 11. Different approaches to simplicity related to inference and truth -- pt. 12. Special problems in statistics/computer science -- pt. 13. An application of statistics to climate change -- pt. 14. Historical approaches to probability/statistics.

Sommario/riassunto

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling "restricted? by their disciplines or thinking "piecemeal? in their treatment of issues.    A second goal of this book is to present work in the field without bias toward any particular statistical paradigm.   Broadly speaking, the



essays in this Handbook are concerne