Catholic University of Zimbabwe Library
Online Public Access Catalogue
(OPAC)

Think Stats (Record no. 19687)

MARC details
000 -LEADER
fixed length control field 02131nam a2200349 4500
001 - CONTROL NUMBER
control field OTLid0000287
003 - CONTROL NUMBER IDENTIFIER
control field MnU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201105133313.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d s
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180907s2014 mnu o 0 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781491907337
040 ## - CATALOGING SOURCE
Original cataloging agency MnU
Language of cataloging eng
Transcribing agency MnU
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Downey, Allen B.
Relator term author
245 00 - TITLE STATEMENT
Title Think Stats
Remainder of title Probability and Statistics for Programmers
Statement of responsibility, etc. Allen Downey
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Open Textbook Library
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Green Tea Press
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
490 0# - SERIES STATEMENT
Series statement Open textbook library.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- 1 Exploratory data analysis -- 2 Distributions -- 3 Probability mass functions -- 4 Cumulative distribution functions -- 5 Modeling distributions -- 6 Probability density functions -- 7 Relationships between variables -- 8 Estimation -- 9 Hypothesis testing -- 10 Linear least squares -- 11 Regression -- 12 Time series analysis -- 13 Survival analysis -- 14 Analytic methods
520 0# - SUMMARY, ETC.
Summary, etc. Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.
542 1# - INFORMATION RELATING TO COPYRIGHT STATUS
Copyright statement Attribution-NonCommercial
546 ## - LANGUAGE NOTE
Language note In English.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
Form subdivision Textbooks
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Open Textbook Library
Relator term distributor
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://open.umn.edu/opentextbooks/textbooks/287">https://open.umn.edu/opentextbooks/textbooks/287</a>
Public note Access online version
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Shelving location Date acquired Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type
          Digital Library Online Access 05.11.2020   QA76 05.11.2020 https://open.umn.edu/opentextbooks/textbooks/287 05.11.2020 eBook

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