Understanding Robust And Exploratory Data Analysis

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Understanding Robust And Exploratory Data Analysis

Author : David C. Hoaglin
ISBN : UCSD:31822026053926
Genre : Mathematics
File Size : 62.13 MB
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The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists. Currently available in the Series: T.W. Anderson The Statistical Analysis of Time Series T.S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The Elements of Stochastic Processes with Applications to the Natural Sciences Robert G. Bartle The Elements of Integration and Lebesgue Measure George E. P. Box & Norman R. Draper Evolutionary Operation: A Statistical Method for Process Improvement George E. P. Box & George C. Tiao Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. Cochran & Gertrude M. Cox Experimental Designs, Second Edition Richard Courant Differential and Integral Calculus, Volume I Richard Courant Differential and Integral Calculus, Volume II Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume II D. R. Cox Planning of Experiments Harold S. M. Coxeter Introduction to Geometry, Second Edition Charles W. Curtis & Irving Reiner Representation Theory of Finite Groups and Associative Algebras Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume II Cuthbert Daniel Fitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition Bruno de Finetti Theory of Probability, Volume I Bruno de Finetti Theory of Probability, Volume 2 W. Edwards Deming Sample Design in Business Research Amos de Shalit & Herman Feshbach Theoretical Nuclear Physics, Volume 1— Nuclear Structure Harold F. Dodge & Harry G. Romig Sampling Inspection Tables: Single and Double Sampling J. L. Doob Stochastic Processes Nelson Dunford & Jacob T. Schwartz Linear Operators, Part One, General Theory Nelson Dunford & Jacob T. Schwartz Linear Operators, Part Two, Spectral Theory—Self Adjoint Operators in Hilbert Space Nelson Dunford & Jacob T. Schwartz Linear Operators, Part Three, Spectral Operators Regina C. Elandt-Johnson & Norman L. Johnson Survival Models and Data Analysis Herman Feshbach Theoretical Nuclear Physics: Nuclear Reactions Joseph L. Fleiss Design and Analysis of Clinical Experiments Bernard Friedman Lectures on Applications-Oriented Mathematics Phillip Griffiths & Joseph Harris Principles of Algebraic Geometry Gerald J. Hahn & Samuel S. Shapiro Statistical Models in Engineering Marshall Hall, Jr. Combinatorial Theory, Second Edition Morris H. Hansen, William N. Hurwitz & William G. Madow Sample Survey Methods and Theory, Volume I—Methods and Applications Morris H. Hansen, William N. Hurwitz & William G. Madow Sample Survey Methods and Theory, Volume II—Theory Peter Henrici Applied and Computational Complex Analysis, Volume 1—Power Series—Integration—Conformal Mapping—Location of Zeros Peter Henrici Applied and Computational Complex Analysis, Volume 2—Special Functions—Integral Transforms—Asymptotics—Continued Fractions Peter Henrici Applied and Computational Complex Analysis, Volume 3—Discrete Fourier Analysis—Cauchy Integrals—Construction of Conformal Maps—Univalent Functions Peter Hilton & Yel-Chiang Wu A Course in Modern Algebra David C. Hoaglin, Frederick Mosteller & John W. Tukey Understanding Robust and Exploratory Data Analysis Harry Hochstadt Integral Equations Leslie Kish Survey Sampling Shoshichi Kobayashi & Katsumi Nomizu Foundations of Differential Geometry, Volume I Shoshichi Kobayashi & Katsumi Nomizu Foundations of Differential Geometry, Volume 2 Erwin O. Kreyszig Introductory Functional Analysis with Applications William H. Louisell Quantum Statistical Properties of Radiation Rupert G. Miller Jr. Survival Analysis Ali Hasan Nayfeh Introduction to Perturbation Techniques Ali Hasan Nayfeh & Dean T. Mook Nonlinear Oscillations Emanuel Parzen Modern Probability Theory & Its Applications P. M. Prenter Splines and Variational Methods Howard Raiffa & Robert Schlaifer Applied Statistical Decision Theory Walter Rudin Fourier Analysis on Groups Lawrence S. Schulman Techniques and Applications of Path Integration Shayle R. Searle Linear Models I. H. Segel Enzyme Kinetics: Behavior and Analysis of Rapid Equilibrium and Steady-State Enzyme Systems C. L. Siegel Topics in Complex Function Theory, Volume I—Elliptic Functions and Uniformization Theory C. L. Siegel Topics in Complex Function Theory, Volume II—Automorphic and Abelian Integrals C. L. Siegel Topics in Complex Function Theory, Volume III—Abelian Functions and Modular Functions of Several Variables L. Spitzer Physical Processes in the Interstellar Medium J. J. Stoker Differential Geometry J. J. Stoker Water Waves: The Mathematical Theory with Applications J. J. Stoker Nonlinear Vibrations in Mechanical and ElectricalSystems Richard Zallen The Physics of Amorphous Solids Arnold Zellner Introduction to Bayesian Inference in Econometrics
Category: Mathematics

Exploring Data Tables Trends And Shapes

Author : David C. Hoaglin
ISBN : 9781118150696
Genre : Mathematics
File Size : 69.99 MB
Format : PDF
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WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists ofselected books that have been made more accessible to consumers inan effort to increase global appeal and general circulation. Withthese new unabridged softcover volumes, Wiley hopes to extend thelives of these works by making them available to future generationsof statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) waswritten as a companion volume to the same editors' book,Understanding Robust and Exploratory Data Analysis (UREDA). WhereasUREDA is a collection of exploratory and resistant methods ofestimation and display, EDTTS goes a step further, describingmultivariate and more complicated techniques . . . I feel that theauthors have made a very significant contribution in the area ofmultivariate nonparametric methods. This book [is] a valuablesource of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical andphilosophical extension to the currently popular statistical areaof Exploratory Data Analysis, which seeks to reveal structure, orsimple descriptions, in data . . . It is . . . an importantreference volume which any statistical library should considerseriously." —The Statistician This newly available and affordably priced paperback version ofExploring Data Tables, Trends, and Shapes presents majoradvances in exploratory data analysis and robust regression methodsand explains the techniques, relating them to classical methods.The book addresses the role of exploratory and robust techniques inthe overall data-analytic enterprise, and it also presents newmethods such as fitting by organized comparisons using the squarecombining table and identifying extreme cells in a sizablecontingency table with probabilistic and exploratory approaches.The book features a chapter on using robust regression in lesstechnical language than available elsewhere. Conceptual support foreach technique is also provided.
Category: Mathematics

Fundamentals Of Exploratory Analysis Of Variance

Author : David C. Hoaglin
ISBN : 0471527351
Genre : Mathematics
File Size : 23.67 MB
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The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
Category: Mathematics

Business Research Methods 12 E Sie

Author : Donald R. Cooper
ISBN : 9789353161200
Genre : Business & Economics
File Size : 46.94 MB
Format : PDF
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We are delighted to present the twelfth edition of Business Research Methods. This edition continues to equip the readers with richest and most comprehensive knowledge and skills involved in the basic research process. Real-world examples, decision-making processes and industrial expertise are evident by way of Snapshots, CloseUps, PicProfiles and Cases found throughout the text. Managerial decision-making is the underlying theme which includes discussion of the business contexts, statistical analysis of the data, survey methods, and reporting and presentation of the data. Plethora of web supplements contain Written Cases, Video Cases, Web Exercises, Articles, Samples, Student Sample Projects, Solutions Manual, etc. Salient Features: - NEW! Reader-friendly structure - NEW! More than 15 Cases about hospital services, data mining, new promotions, etc. - Market-leading coverage of questionnaire design and web-based survey techniques - NEW! Indian and Asian examples to illustrate various concepts, framework, and decision-making tools - NEW! Updated pedagogy with additional examples solved using computer-based analytical methods (SPSS), 200+ truefalse and multiple-choice questions
Category: Business & Economics

Exploratory Data Analysis With Matlab

Author : Wendy L. Martinez
ISBN : 9781498776073
Genre : Mathematics
File Size : 33.81 MB
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Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
Category: Mathematics

Business Research Methods

Author : William Emory
ISBN : UCSD:31822007954183
Genre : Industrial management
File Size : 34.53 MB
Format : PDF
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Category: Industrial management

Business Research Methods

Author : Donald R. Cooper
ISBN : UCSD:31822018927830
Genre : Economics
File Size : 85.3 MB
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Cooper and Schindler's Business Research Methods offers students and instructors thorough coverage of business research topics backed by solid theory. The authors are successful marketing research consultants and that is evident in the rich and realistic case studies found in the text. Managerial decision making is the underlying theme, topics and applications are presented and organized in a manner that allow students to thoroughly understand business research topics and functions. Consequently, the structure of the text encourages and supports completion of an in-depth business research project during the semester.
Category: Economics

Tree Ring Bulletin

Author :
ISBN : MINN:31951P00459434F
Genre : Dendrochronology
File Size : 77.18 MB
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Category: Dendrochronology

Data Analysis Learning Symbolic And Numeric Knowledge

Author : Learning Symbolic and Numeric Knowledge Conference on Data Analysis
ISBN : UOM:39015015303392
Genre : Science
File Size : 22.94 MB
Format : PDF
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Data Analysis, Learning Symbolic & Numeric Knowledge Proceedings Of The Conference On Data Analysis, Learning Symbolic & Numeric Knowledge
Category: Science

Proceedings Of The Statistical Computing Section

Author : American Statistical Association. Statistical Computing Section
ISBN : UOM:39015037940411
Genre : Mathematical statistics
File Size : 20.27 MB
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Papers presented at the annual meeting of the American Statistical Association ...
Category: Mathematical statistics

Business Research For Decision Making

Author : Duane Davis
ISBN : 053437106X
Genre : Business & Economics
File Size : 67.25 MB
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This Fifth Edition reflects the ever-increasing changes in the tools and technology available today. Duane Davis teaches students and managers how to develop ways to efficiently and effectively plan, collect, organize, and assimilate information to make informed business decisions. This book covers the fundamentals of conducting research as well as the recent advancements in the field of business research such as the use of the Internet, qualitative research, and modern analytical tools (SPSS and Excel). The new edition is available packaged with the SPSS Student Version Software.
Category: Business & Economics

Introductory Biostatistics For The Health Sciences

Author : Michael R. Chernick
ISBN : UOM:39015056810222
Genre : Mathematics
File Size : 50.50 MB
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This work provides a basic but thorough introduction to biostatistics and its applications. Stressing practical applications, it interweaves recent advances in the bootstrap, outliers, and meta-analysis in an effort to modernise the subject matter.
Category: Mathematics