Inference / by D.V. Lindley.

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours grad...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Cambridge)
Main Author: Lindley, D. V. (Dennis Victor), 1923-2013
Format: Electronic eBook
Language:English
Published: Cambridge : Cambridge University Press, 1970.
Series:Lindley, D. V. (Dennis Victor), 1923- Introduction to probability and statistics from a Bayesian viewpoint ; pt. 2.
Subjects:

MARC

LEADER 00000cam a2200000Ma 4500
001 in00000034077
006 m o d
007 cr |||||||||||
008 110504s1970 enka ob 001 0 eng d
005 20230831172626.6
035 |a (OCoLC)ceba726826994 
037 |a cebaCBO9780511662973 
040 |a E7B  |b eng  |e pn  |c E7B  |d OCLCQ  |d CAMBR  |d OCLCQ  |d OCLCA  |d OCLCF  |d OCLCQ  |d HS0  |d OCLCO  |d OCLCQ 
020 |a 9780511662973  |q (electronic bk.) 
020 |a 0511662971  |q (electronic bk.) 
020 |z 9780521055635 
020 |z 9780521298667 
035 |a (OCoLC)726826994 
050 4 |a QA279.5  |b .L56 1970eb 
049 |a GWRE 
100 1 |a Lindley, D. V.  |q (Dennis Victor),  |d 1923-2013. 
245 1 0 |a Inference /  |c by D.V. Lindley. 
260 |a Cambridge :  |b Cambridge University Press,  |c 1970. 
300 |a 1 online resource (xiii, 292 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Introduction to probability and statistics from a Bayesian viewpoint ;  |v pt. 2 
504 |a Includes bibliographical references and indexes. 
588 0 |a Print version record. 
505 0 |a Pt. 1. Probability. -- pt. 2. Inference. 
520 |a The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the first volume. 
650 0 |a Bayesian statistical decision theory. 
650 0 |a Probabilities. 
650 0 |a Statistics. 
650 7 |a Bayesian statistical decision theory.  |2 fast  |0 (OCoLC)fst00829019 
650 7 |a Probabilities.  |2 fast  |0 (OCoLC)fst01077737 
650 7 |a Statistics.  |2 fast  |0 (OCoLC)fst01132103 
800 1 |a Lindley, D. V.  |q (Dennis Victor),  |d 1923-  |t Introduction to probability and statistics from a Bayesian viewpoint ;  |v pt. 2. 
856 4 0 |u https://colorado.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9780511662973  |z Full Text (via Cambridge) 
915 |a M 
956 |a Cambridge EBA 
956 |b Cambridge EBA ebooks Complete Collection 
998 |b New collection CUP.ebaebookscomplete 
994 |a 92  |b COD 
999 f f |s 01e2c0a3-9d8c-4c48-8816-a52c28802f81  |i 6aafee3b-5282-49d9-ad46-b8208d4893f3 
952 f f |p Can circulate  |a University of Colorado Boulder  |b Online  |c Online  |d Online  |h Library of Congress classification  |i web