Graphical methods for data analysis (Record no. 51416)

MARC details
000 -LEADER
fixed length control field 04123nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISURa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190529b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315893204
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English Language
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.422
Item number GRA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chambers, John M.
9 (RLIN) 72303
245 ## - TITLE STATEMENT
Title Graphical methods for data analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton
Name of publisher, distributor, etc FL : CRC Press
Date of publication, distribution, etc 2018
300 ## - PHYSICAL DESCRIPTION
Extent Xiv, 395 p,
Dimensions 23 cm.
500 ## - GENERAL NOTE
General note Cover; Title Page; Copyright Page; Preface; Contents; 1: Introduction; 1.1: Why Graphics?; 1.2: What is a Graphical Method for Analyzing Data?; 1.3: A Summary of the Contents; 1.4: The Selection and Presentation of Materials; 1.5: Data Sets; 1.6: Quality of Graphical Displays; 1.7: How Should This Book Be Used?; 2: Portraying the Distribution of a Set of Data; 2.1: Introduction; 2.2: Quantile Plots; 2.3: Symmetry; 2.4: One-Dimensional Scatter Plots; 2.5: Box Plots; 2.6: Histograms; 2.7: Stem-and-Leaf Diagrams; 2.8: Symmetry Plots and Transformations; 2.9: Density Traces. 2.10: Summary and Discussion2.11: Further Reading; Exercises; 3: Comparing Data Distributions; 3.1: Introduction; 3.2: Empirical Quantile-Quantile Plots; 3.3: Collections of Single-Data-Set Displays; 3.4: Notched Box Plots; 3.5: Multiple Density Traces; 3.6: Plotting Ratios and Differences; 3.7: Summary and Discussion; 3.8: Further Reading; Exercises; 4: Studying Two-Dimensional Data; 4.1: Introduction; 4.2: Numerical Summaries are not Enough; 4.3: Examples; 4.4: Looking at the Scatter Plots; 4.5: Studying the Dependence of y on x by Summaries in Vertical Strips. 4.6: Studying the Dependence of y on x by Smoothing4.7: Studying the Dependence of the Spread of y on x by Smoothing Absolute Values of Residuals; 4.8: Fighting Repeated Values with Jitter and Sunflowers; 4.9: Showing Counts with Cellulation and Sunflowers; 4.10: Two-Dimensional Local Densities and Sharpening; 4.11: Mathematical Details of Lowess; 4.12: Summary and Discussion; 4.13: Further Reading; Exercises; 5: Plotting Multivariate Data; 5.1: Introduction; 5.2: One-Dimensional and Two-Dimensional Views; 5.3: Plotting Three Dimensions at Once; 5.4: Plotting Four and More Dimensions. 5.5: Combinations of Basic Methods5.6: First Aid and Transformation; 5.7: Coding Schemes for Plotting Symbols; 5.8: Summary and Discussion; 5.9: Further Reading; Exercises; 6 Assessing Distributional Assumptions About Data; 6.1: Introduction; 6.2: Theoretical Quantile-Quantile Plots; 6.3: More on Empirical Quantiles and Theoretical Quantiles; 6.4: Properties of the Theoretical Quantile-Quantile Plot; 6.5: Deviations from Straight-Line Patterns; 6.6: Two Cautions for Interpreting Theoretical Quantile-Quantile Plots; 6.7: Distributions with Unknown Shape Parameters. 6.8: Constructing Quantile-Quantile Plots6.9: Adding Variability Information to a Quantile-Quantile Plot; 6.10: Censored and Grouped Data; 6.11: Summary and Discussion; 6.12: Further Reading; Exercises; 7: Developing and Assessing Regression Models; 7.1: Introduction; 7.2: The Linear Model; 7.3: Simple Regression; 7.4: Preliminary Plots; 7.5: Plots During Regression Fitting; 7.6: Plots After the Model is Fitted; 7.7: A Case Study; 7.8: Some Special Regression Situations; 7.9: Summary and Discussion; 7.10: Further Reading; Exercises; 8: General Principles and Techniques; 8.1: Introduction.
520 ## - SUMMARY, ETC.
Summary, etc "This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data? even a large set- can be adequately analyses through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses."--Provided by publish
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics -- Graphic methods -- Congresses.
9 (RLIN) 72304
Topical term or geographic name as entry element REFERENCE -- Questions & Answers.
9 (RLIN) 72305
Topical term or geographic name as entry element Computer graphics -- Congresses.
9 (RLIN) 72306
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cleveland, William S.
9 (RLIN) 72307
Personal name Kleiner, Beat
9 (RLIN) 72308
Personal name Tukey, Paul A.
9 (RLIN) 72309
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Lending Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 23/05/2019 38500.00   001.422 GRA 112960 29/05/2019 29/05/2019 Lending Books
    Dewey Decimal Classification     Reference Collection Applied Sciences Library Applied Sciences Library Reference Section 23/05/2019 38500.00   001.422 GRA 112961 29/05/2019 29/05/2019 Sheduled Reference