Essentials of Probability Theory for Statisticians / (Record no. 71668)

000 -LEADER
fixed length control field 05639nam a2200565Ii 4500
001 - CONTROL NUMBER
control field 9781315370576
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212604.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190122t20182016fluab ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781315370576 (e-book : PDF)
041 1# - LANGUAGE CODE
Language code of text/sound track or separate title
082 04 - CLASSIFICATION NUMBER
Call Number 519.201
100 1# - AUTHOR NAME
Author Proschan, Michael A.,
245 10 - TITLE STATEMENT
Title Essentials of Probability Theory for Statisticians /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (344 pages) :
490 1# - SERIES STATEMENT
Series statement Chapman & Hall/CRC Texts in Statistical Science
520 3# - SUMMARY, ETC.
Summary, etc Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.
700 1# - AUTHOR 2
Author 2 Shaw, Pamela A.,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781315370576
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton, FL :
-- Chapman and Hall/CRC,
-- [2018].
264 #4 -
-- ©2016.
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probabilities.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MATHEMATICS / Probability & Statistics / Bayesian Analysis.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- biostatistics examples.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- classic probability results.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- design of clinical trials.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- measure theory.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- probability theory textbook.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- theoretical statistics.

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