Statistics is concerned with investigating the degree of confidence we can have in various hypotheses. The Bayesian approach is distinguished by giving each hypothesis a probability and then modifying it in the light of the experimental data. This is controversial because for a new theory with no data available, an element of guesswork has to be involved. The author presents the ideas behind Bayesian statistics at a level suitable for advanced undergraduate or postgraduate students. The discrepancies between the conclusions of Bayesian and classical statistics are highlighted.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 157 mm
Breite: 235 mm
Gewicht
ISBN-13
978-0-85264-298-6 (9780852642986)
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Schweitzer Klassifikation
Probability and Bayes' Theorem; Bayesian inference for the normal distribution; some other common distributions; hypothesis testing; two sample problems; correlation and regression; other topics. Appendix: common statistical distributions.