Introduction to Probabilistic and Statistical Methods with Examples in R (Record no. 77760)

000 -LEADER
fixed length control field 02974nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-030-45799-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801215705.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200522s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030457990
-- 978-3-030-45799-0
082 04 - CLASSIFICATION NUMBER
Call Number 519
100 1# - AUTHOR NAME
Author Stapor, Katarzyna.
245 10 - TITLE STATEMENT
Title Introduction to Probabilistic and Statistical Methods with Examples in R
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 157 p. 33 illus., 24 illus. in color.
490 1# - SERIES STATEMENT
Series statement Intelligent Systems Reference Library,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Elements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.
520 ## - SUMMARY, ETC.
Summary, etc This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike. .
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-45799-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering—Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied Statistics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Mathematics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1868-4408 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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