000 -LEADER |
fixed length control field |
03880cam a2200325 i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
APU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20190311044032.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190311s2017 caua b 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781491952962 (pbk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1491952962 (pbk.) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NUSCL |
Language of cataloging |
eng |
Transcribing agency |
NUSCL |
Modifying agency |
WAN |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA276.4 |
Item number |
.B78 2017 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bruce, Peter. |
9 (RLIN) |
42543 |
245 10 - TITLE STATEMENT |
Title |
Practical statistics for data scientists : |
Remainder of title |
50 essential concepts / |
Statement of responsibility, etc |
Peter Bruce and Andrew Bruce. |
246 30 - VARYING FORM OF TITLE |
Title proper/short title |
50 essential concepts. |
246 3# - VARYING FORM OF TITLE |
Title proper/short title |
Fifty essential concepts. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Sebastopol, CA : |
Name of publisher, distributor, etc |
O'Reilly Media, Inc., |
Date of publication, distribution, etc |
2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 298 p. : |
Other physical details |
ill. ; |
Dimensions |
24 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Copyright; Table of Contents; Preface; What to Expect; Conventions Used in This Book; Using Code Examples; SafariĀ® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Exploratory Data Analysis; Elements of Structured Data; Further Reading; Rectangular Data; Data Frames and Indexes; Nonrectangular Data Structures; Further Reading; Estimates of Location; Mean; Median and Robust Estimates; Example: Location Estimates of Population and Murder Rates; Further Reading; Estimates of Variability; Standard Deviation and Related Estimates; Estimates Based on Percentiles. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Example: Variability Estimates of State PopulationFurther Reading; Exploring the Data Distribution; Percentiles and Boxplots; Frequency Table and Histograms; Density Estimates; Further Reading; Exploring Binary and Categorical Data; Mode; Expected Value; Further Reading; Correlation; Scatterplots; Further Reading; Exploring Two or More Variables; Hexagonal Binning and Contours (Plotting Numeric versus Numeric Data); Two Categorical Variables; Categorical and Numeric Data; Visualizing Multiple Variables; Further Reading; Summary; Chapter 2. Data and Sampling Distributions. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Random Sampling and Sample BiasBias; Random Selection; Size versus Quality: When Does Size Matter?; Sample Mean versus Population Mean; Further Reading; Selection Bias; Regression to the Mean; Further Reading; Sampling Distribution of a Statistic; Central Limit Theorem; Standard Error; Further Reading; The Bootstrap; Resampling versus Bootstrapping; Further Reading; Confidence Intervals; Further Reading; Normal Distribution; Standard Normal and QQ-Plots; Long-Tailed Distributions; Further Reading; Student's t-Distribution; Further Reading; Binomial Distribution; Further Reading. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Poisson and Related DistributionsPoisson Distributions; Exponential Distribution; Estimating the Failure Rate; Weibull Distribution; Further Reading; Summary; Chapter 3. Statistical Experiments and Significance Testing; A/B Testing; Why Have a Control Group?; Why Just A/B? Why Not C, D...?; For Further Reading; Hypothesis Tests; The Null Hypothesis; Alternative Hypothesis; One-Way, Two-Way Hypothesis Test; Further Reading; Resampling; Permutation Test; Example: Web Stickiness; Exhaustive and Bootstrap Permutation Test; Permutation Tests: The Bottom Line for Data Science; For Further Reading. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Statistical Significance and P-ValuesP-Value; Alpha; Type 1 and Type 2 Errors; Data Science and P-Values; Further Reading; t-Tests; Further Reading; Multiple Testing; Further Reading; Degrees of Freedom; Further Reading; ANOVA; F-Statistic; Two-Way ANOVA; Further Reading; Chi-Square Test; Chi-Square Test: A Resampling Approach; Chi-Squared Test: Statistical Theory; Fisher's Exact Test; Relevance for Data Science; Further Reading; Multi-Arm Bandit Algorithm; Further Reading; Power and Sample Size; Sample Size; Further Reading; Summary; Chapter 4. Regression and Prediction. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Data processing. |
9 (RLIN) |
42544 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics. |
9 (RLIN) |
42545 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Bruce, Andrew. |
9 (RLIN) |
42546 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Book |