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Fundamentals of Exploratory Analysis of Variance

ISBN/GTIN

Fundamentals of Exploratory Analysis of Variance

Postgraduate, Research & Scholarly

von

Hoaglin, David C. (Harvard University) (Editor)Mosteller, Frederick (Harvard University) (Editor)Tukey, John W. (Princeton University) (Editor)

BuchGebunden

Verkaufsrang16667inMathematik

CHF328.00

In den Warenkorb

Beschreibung

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.

Weitere Beschreibungen

Details

ISBN/GTIN978-0-471-52735-0

ProduktartBuch

EinbandGebunden

VerlagJohn Wiley & Sons Inc

Erscheinungsdatum03.10.1991

ReiheWiley Series in Probability and Statistics

Seiten464 Seiten

SpracheEnglisch

MasseBreite 161 mm, Höhe 241 mm, Dicke 26 mm

Gewicht699 g

Artikel-Nr.3319943

KatalogBuchzentrum

Datenquelle-Nr.1752778

WarengruppeMathematik

Weitere Details

Reihe

An Introduction to Probability Theory and Its Applications, Volume 1

An Introduction to Probability Theory and Its Applications, Volume 2

Statistical Concepts and Methods

Sampling Techniques

Introduction to Mathematical Statistics

The Theory and Practice of Econometrics

Fundamentals of Exploratory Analysis of Variance

Continuous Univariate Distributions, Volume 2

Aspects of Statistical Inference

A Probabilistic Analysis of the Sacco and Vanzetti Evidence

Construction and Assessment of Classification Rules

Collected Works of Jaroslav Hájek

Modern Simulation and Modeling

Regression Graphics

Applied Regression Analysis

Convergence of Probability Measures

Simulation

Statistical Analysis of Categorical Data

Applied Regression Including Computing and Graphics

Practical Nonparametric Statistics

Continuous Multivariate Distributions, Volume 1

Finite Mixture Models

Sensitivity Analysis

Reliability

Fourier Analysis of Time Series

Biostatistical Methods in Epidemiology

Mathematics of Chance

Limit Distributions for Sums of Independent Random Vectors

The Subjectivity of Scientists and the Bayesian Approach

Runs and Scans with Applications

Bayesian Methods for Nonlinear Classification and Regression

Models for Investors in Real World Markets

Regression Models for Time Series Analysis

Statistical Analysis with Missing Data

Statistical Methods for the Analysis of Biomedical Data

Statistical Models and Methods for Lifetime Data

Statistical Process Adjustment for Quality Control

The Statistical Analysis of Failure Time Data

Methods of Multivariate Statistics

An Introduction to Multivariate Statistical Analysis

Statistical Design and Analysis of Experiments

Weibull Models

Case Studies in Reliability and Maintenance

Exploratory Data Mining and Data Cleaning

Planning, Construction, and Statistical Analysis of Comparative Experiments

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Statistics of Extremes

Biostatistics

Analyzing Microarray Gene Expression Data

Biostatistics

Preparing for the Worst

Applied Spatial Statistics for Public Health Data

Discrete Distributions

Regression With Social Data

Random Graphs for Statistical Pattern Recognition

Constrained Statistical Inference

Flowgraph Models for Multistate Time-to-Event Data

Discriminant Analysis and Statistical Pattern Recognition

Financial Derivatives in Theory and Practice

Markov Decision Processes

Univariate Discrete Distributions

Image Processing and Jump Regression Analysis

Bayesian Models for Categorical Data

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment

Statistics for Experimenters

Stochastic Simulation

Exploring Data Tables, Trends, and Shapes

Robust Statistics

The Theory of Response-Adaptive Randomization in Clinical Trials

Applied MANOVA and Discriminant Analysis

Modes of Parametric Statistical Inference

Bayesian Statistical Modelling

Uncertainty Analysis with High Dimensional Dependence Modelling

Measurement Error Models

Linear Models for Unbalanced Data

Bayes Linear Statistics

Modern Experimental Design

The Construction of Optimal Stated Choice Experiments

Long-Memory Time Series

Simulation and Monte Carlo

Inference and Prediction in Large Dimensions

Nonparametric Analysis of Univariate Heavy-Tailed Data

Periodically Correlated Random Sequences

A Matrix Handbook for Statisticians

Bootstrap Methods

Design and Analysis of Experiments, Volume 1

Statistical Advances in the Biomedical Sciences

The EM Algorithm and Extensions

Student Solutions Manual to Accompany Simulation and the Monte Carlo Method

Statistical Rules of Thumb

Meta Analysis

Statistical Meta-Analysis with Applications

Modern Regression Methods

Generalized, Linear, and Mixed Models

Linear Models

Applied Survival Analysis

Applied Multiway Data Analysis

Univariate Discrete Distributions, 3e Set

Design and Analysis of Experiments Set

Statistical Analysis of Designed Experiments

Über den/die AutorIn

Hoaglin, David C. (Harvard University) (Editor)Mosteller, Frederick (Harvard University) (Editor)Tukey, John W. (Princeton University) (Editor)

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.

JOHN W. TUKEY, PhD, has received the National Medal of Science as well as several honorary degrees.

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