Compstat

Table of Contents

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   Book Overview
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   Chapter 1 Huge Data Sets
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   Chapter 2 Assessing Convergence of Markov Chain Monte Carlo Methods
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   Chapter 3 What can Numerical Analysis do for Statistics?
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   Chapter 4 Computation of Statistics Integrals using Subregion Adaptive Numerical Integration
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   Chapter 5 Universal Generators for Correlation Induction
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   Chapter 6 Local Polynomial Approximation of Rapidly Time-Varying Parameters of Nonlinear Dynamics
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   Chapter 7 Backfitting and Related Procedures for Non-parametric Smoothing Regression: A Comparative View
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   Chapter 8 Parallelism in Computational Statistics
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    Chapter 9 Construction of Decision Procedures for Selecting Populations
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    Chapter 10 A New Robust Design Strategy for Sigmoidal Models Based on Model Nesting
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    Chapter 11 Some Dynamic Graphics for Spatial Data (with Multiple Attributes) in a GIS
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    Chapter 12 Stochastic Modelling of Spatial and Dynamic Patterns. Applications in Ecology
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    Chapter 13 Classification and Discrimination: the RECPAM Approach
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    Chapter 14 Classification of Tumour 1 H NMR Spectra using Nonlinear Approaches
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    Chapter 15 Fuzzy Clustering and Mixture Models
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    Chapter 16 Clustering in an Interactive Way
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    Chapter 17 Stability of Regression Trees
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    Chapter 18 Modelling for Recursive Partitioning and Variable Selection
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    Chapter 19 Approximate Bayesian Inferences for the Reliability in the Weibull Case: Some Aspects of Reparametrization
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    Chapter 20 Simulation of a Bayesian Interval Estimate for a Heterogeneity Measure
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    Chapter 21 Multivariate Process Control Through the Means of Influence Functions
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    Chapter 22 TRIQ — A PC-Program for Design and Analysis of Triangular Sequential Trials
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    Chapter 23 Estimation of Parameters of the Inf. of Weibull Distributed Failure Time Distributions
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    Chapter 24 Survival Graphics Software: Current Status, Future Needs and Criteria of Assessment
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    Chapter 25 Neural Networks: More Than ‘Statistics for Amateurs’?
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    Chapter 26 On Robust Nonlinear Regression Methods Estimating Dose Response Relationships
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    Chapter 27 High Breakdown Regression by Minimization of a Scale Estimator
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    Chapter 28 Using GLIM4 to Estimate the Tuning Constant for Huber’s M-estimate of Location
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    Chapter 29 On the Calculation of MSE Minimizing Robust Estimators
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    Chapter 30 Robust Fitting of an Additive Model for Variance Heterogeneity
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    Chapter 31 Models for Multivariate Data Analysis
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    Chapter 32 Comparing Independent Samples of Highdimensional Observation Vectors
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    Chapter 33 Unmasking Influential Observations in Multivariate Methods
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    Chapter 34 Application of a Multiagent Distributed Architecture for Time Series Forecasting
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    Chapter 35 Principal Component Analysis on Simulated AR(1) Processes
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    Chapter 36 A Note on Generation, Estimation and Prediction of Stationary Processes
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    Chapter 37 Data Based Selection of “Window Width” for Spectrum Density Estimator Based on Time-averaged Periodograms
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    Chapter 38 Bootstrap Confidence Regions for Homogeneity Analysis; the Influence of Rotation on Coverage Percentages
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    Chapter 39 Bootstrap Confidence Regions for Canonical Variate Analysis
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    Chapter 40 STORM+: Statistical Data Storage and Manipulation System
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    Chapter 41 A Rigorous Treatment of Microdata, Macrodata, and Metadata
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    Chapter 42 Software for the Design of Experiments — a Comparative Overview
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    Chapter 43 A Distributed LISP-STAT Environment
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    Chapter 44 S-PLUS and MATLAB: A Comparison of Two Programming Environments
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    Chapter 45 A Specification Language for Gibbs Sampling
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    Chapter 46 Applying the Object Oriented Paradigm to Statistical Computing
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    Chapter 47 Nonlinear Regression on Personal Computers
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    Chapter 48 Simulation, Modelling & Teaching
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    Chapter 49 Teaching and Learning Through Technology — the Development of Software for Teaching Statistics to Non-Specialist Students
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    Chapter 50 An Algorithm for Blocking Response Surface Designs in the Presence of Time Trends
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    Chapter 51 Computational Issues for Cross-over Designs Subject to Dropout
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    Chapter 52 Data Structures and Algorithms for an Open System to Design and Analyse Generally Balanced Designs
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    Chapter 53 Sequentially Counterbalanced Designs Formed from Two or More Latin Squares
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    Chapter 54 Miscellaneous Procedures Connected with the Change Point Problem
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    Chapter 55 Randomization Methods for Detecting Changepoints
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    Chapter 56 PLS Regression via Additive Splines
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    Chapter 57 Fitting Power Models to Two-Way Contingency Tables
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    Chapter 58 Optimized Local Regression: Computational Methods for the Moving Average Case
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    Chapter 59 Equivalence in Non-Recursive Structural Equation Models
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    Chapter 60 Automatic Stable Parameters for Nonlinear Regression
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    Chapter 61 Computationally Intensive Variable Selection Criteria
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    Chapter 62 A Nonparametric Testing Procedure for Missing Data
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    Chapter 63 Simulate and Reject Monte Carlo Exact Conditional Tests for Quasi-independence
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    Chapter 64 Empirical Powers of MRPP Rank Tests for Symmetric Kappa Distributions
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    Chapter 65 Dynamic Updating of Inter-Urban Traffic Network Models Using Conditional Independence Relationships
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    Chapter 66 Smoothing and Robust Wavelet Analysis