Introduction to Probabilistic and Statistical Methods with Examples in R (Record no. 77760)
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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 |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | 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 ; |
912 ## - | |
-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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