Understanding Robust and Exploratory Data Analysis by David C Hoaglin
This text explains the necessity for and uses of both exploratory data analysis and robust and resistant methods in statistical practice. Edited by pre-eminent statisticians, it provides the conceptual, logical, and sometimes mathematical support for the more basic techniques of these methods.-
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Introductory Functional Analysis with Applications
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Differential and Integral Calculus, Volume 1
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Statistical Models in Engineering
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Introduction to Geometry
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Applied and Computational Complex Analysis, 3 Volume Set
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Geometric Algebra
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Survival Models and Data Analysis
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Applied and Computational Complex Analysis, Volume 2
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Integral Equations
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Applied and Computational Complex Analysis, Volume 1
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Lectures on Applications-Oriented Mathematics
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A Course in Modern Algebra
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An Introduction to Bayesian Inference in Econometrics
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Topics in Complex Function Theory, Volume 3
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Foundations of Differential Geometry, Volume 2
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Statistics and the Law
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The Elements of Stochastic Processes with Applications to the Natural Sciences
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Fitting Equations to Data
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Evolutionary Operation
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The Statistical Analysis of Time Series
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Combinatorial Theory
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Linear Operators, Part 1
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Statistical Design for Research
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Statistics
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Survival Analysis
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Mathematical Programming in Statistics
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Sample Survey Methods and Theory, Volume 2
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Sample Survey Methods and Theory, Volume 1
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Statistics for Spatial Data
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Water Waves
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Detection, Estimation, and Modulation Theory, Part II
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Linear Operators, Part 3
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Simple Groups of Lie Type
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Stochastic Processes
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Bayesian Inference in Statistical Analysis
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Statistical Optics
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Applied Statistical Decision Theory
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Applied and Computational Complex Analysis, Volume 3
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Planning of Experiments
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Modern Probability Theory and Its Applications
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Optimal Statistical Decisions
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Topics in Complex Function Theory, Volume 2
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Experimental Designs
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The Elements of Integration and Lebesgue Measure
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Design and Analysis of Clinical Experiments
"With a dozen chapters aimed at readers of a broad standarddeviation of mathematical sophistication, this collection bynotables in the field explains..connection of robust techniquesand exploratory data analysis..." (SciTech Book News, Vol. 24, No.4, December 2000)
"As a tribute to the long-lasting impact of this collection ofpapers, the editors...decided to add Understanding Robust andExploratory Data Analysis to its Classic Library series...to extendthe life of this important work by making it available to futuregenerations of statisticians." (Journal of the American StatisticalAssociation, September 2001)
"As a tribute to the long-lasting impact of this collection ofpapers, the editors...decided to add Understanding Robust andExploratory Data Analysis to its Classic Library series...to extendthe life of this important work by making it available to futuregenerations of statisticians." (Journal of the American StatisticalAssociation, September 2001)
DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.
FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.
| SKU | Unavailable |
| ISBN 13 | 9780471384915 |
| ISBN 10 | 0471384917 |
| Title | Understanding Robust and Exploratory Data Analysis |
| Author | David C Hoaglin |
| Series | Wiley Classics Library |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2000-06-14 |
| Number of pages | 480 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |