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Computational Statistics

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Cover of 'Computational Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Science, Data, Statistics and Computing
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    Chapter 2 Graphical Regression
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    Chapter 3 LAPACK: A Linear Algebra Library for High-Performance Computers
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    Chapter 4 PARELLA: Measurement of Latent Attitude via the Statistical Modelling of Response Processes
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    Chapter 5 On Fitting Non-Stationary Markov Point Process Models on GLIM
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    Chapter 6 Measuring Departure from Gaussian Assumptions in Spatial Processes
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    Chapter 7 Monte Carlo Simulation on Software Mutation Test-Case Adequacy
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    Chapter 8 Exploratory Analysis of Ordinal Repeated Measures
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    Chapter 9 Scaling Factors in Generalised Procrustes Analysis
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    Chapter 10 Correspondance Table between Two Sets, One Partitioned, and Associated Tables
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    Chapter 11 DOMOUSE: Detection of Multivariate Outliers Using S Environment
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    Chapter 12 Algorithmic Approaches for Fitting Bilinear Models
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    Chapter 13 Ordinal Principal Component Analysis
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    Chapter 14 Computational Procedures for Estimation and Hypothesis Testing in Analyzing Two-Way Tables with Interaction and No Replication
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    Chapter 15 Computational Aspects of the Nearest Neighbor Statistics
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    Chapter 16 Discrimination through the Regularized Nearest Cluster Method
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    Chapter 17 Segmentation Trees: A New Help Building Expert Systems and Neural Networks
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    Chapter 18 Classification by Quantification of Ranking Pattern
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    Chapter 19 Tree-Growing for the Multivariate Model: The RECPAM Approach
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    Chapter 20 On the Level of Regularization in Regularized Discriminant Analysis
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    Chapter 21 Additive Spline Discriminant Analysis
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    Chapter 22 A New Dynamic Programing Algorithm for Cluster Analysis
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    Chapter 23 StatLog: An Evaluation of Machine Learning and Statistical Algorithms
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    Chapter 24 Discriminant Analysis of Plasma Fusion Data
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    Chapter 25 Presentation of the Method of Density Slices: An Answer to the Multitendencies Problems
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    Chapter 26 A Two-Stage Predictive Splitting Algorithm in Binary Segmentation
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    Chapter 27 A Comparative Study of Two Methods of Discrete Regularized Discriminant Analysis
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    Chapter 28 From Data to Knowledge: Probabilist Objects for a Symbolic Data Analysis
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    Chapter 29 Comparing Numerical and Symbolic Clustering: Application to Pseudoperiodic Light Curves of Stars
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    Chapter 30 Description of a Knowledge Base of Symbolic Objects by Histograms
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    Chapter 31 An Efficient Neural Network by a Classification Tree
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    Chapter 32 Graphical Models for Dependencies and Associations
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    Chapter 33 Model Search in Contingency Tables by CoCo
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    Chapter 34 Stochastic Simulation in Mixed Graphical Association Models
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    Chapter 35 Recognizing Submodels of a Loglinear Model
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    Chapter 36 HModel: An X Tool for Global Model Search
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    Chapter 37 Assessing the Power of Model Selection Procedures used when Graphical Modelling
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    Chapter 38 Computing Missing Values in Time Series
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    Chapter 39 Forecasting Singapore’s GDP Growth with a Small-Scale Model
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    Chapter 40 Construction of State Space Models for Time Series Exhibiting Exponential Growth
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    Chapter 41 The Technique of Δ-Transformation in Econometric Data Series
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    Chapter 42 Econometric Modelling on Micro-Computers: The Impact of the New Technological Features
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    Chapter 43 Two New Robust Methods for Time Series
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    Chapter 44 Forecasting Using a Semiparametric Model
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    Chapter 45 Computing ARMA Models with MATLAB
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    Chapter 46 Analyzing Treatment Effects - The WAMASTEX Approach to Paired Sample Data
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    Chapter 47 FORTUNE: Improving Forecasts by Tuning the Forecasting Process
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    Chapter 48 A Comparative Study of Outlier Detection and Missing Value Estimation Methods Applied to Time Series Transport Data
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    Chapter 49 Linking Judgements to Forecasting Models
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    Chapter 50 Numerical Computation of Exact Distributions for First Order Stochastic Difference Equations
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    Chapter 51 Estimation of Radioimmunoassay Data Using Robust Nonlinear Regression Methods
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    Chapter 52 An Artificial Intelligence Approach for Modeling in Nonlinear Regression Parametric Models
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    Chapter 53 Accurate Multivariable Numerical Derivatives for Inference in Nonlinear Regression
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    Chapter 54 Advantages of the Approximative Interpretation - An Algorithm and Program for Finding Solutions of Large Non-Linear Problems
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    Chapter 55 Providing for the Analysis of Generalized Additive Models within a System already Capable of Generalized Linear and Nonlinear Regression
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    Chapter 56 A Note on Local Sensitivity of Regression Estimates
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    Chapter 57 Parallel Model Analysis with Factorial Parameter Structure
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    Chapter 58 Time-Efficient Algorithms for Two Highly Robust Estimators of Scale
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    Chapter 59 Universal Consistency of Partitioning-Estimates of a Regression Function for Randomly Missing Data
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    Chapter 60 The Use of Slices in the LMS and the Method of Density Slices: Foundation and Comparison
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    Chapter 61 On Some Statistical Properties of Bézier Curves
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    Chapter 62 TRADE Regression
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    Chapter 63 A Review on Smoothing Methods for the Estimation of the Hazard Rate Based on Kernel Functions
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    Chapter 64 Departures from Assumptions in Two-Phase Regression
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    Chapter 65 An Analysis of the Least Median of Squares Regression Problem
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    Chapter 66 Nonparametric Regression Methods for Smoothing Curves
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    Chapter 67 An Inference Procedure for the Minimum Sum of Absolute Errors Regression
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    Chapter 68 An Operator Method for Backfitting with Smoothing Splines in Additive Models
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    Chapter 69 Sensitivity Analysis in Structural Equation Models
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    Chapter 70 Methods for Robust Non-Linear Regression
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    Chapter 71 Statistical Thinking in Total Quality Management: Implications for Improvement of Quality - with Ideas for Software Development
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    Chapter 72 Statistical Computation in the Pharmaceutical Industry
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    Chapter 73 Stochastic Simulations of Population Variability in Pharmacokinetics
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    Chapter 74 Computational Aspects in Uncertainty Analyses of Physiologically-Based Pharmacokinetic Models
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    Chapter 75 Simulated Annealing in Bayesian Decision Theory
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    Chapter 76 Generalized Linear Models and Jeffreys Priors: An Iterative Weighted Least-Squares Approach
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    Chapter 77 Approaches to Tobit Models via Gibbs Sampling
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    Chapter 78 Bayesian Predictive Screening: An Efficient Approach for the Multivariate Binary, Ordinal Responses
Attention for Chapter 33: Model Search in Contingency Tables by CoCo
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Chapter title
Model Search in Contingency Tables by CoCo
Chapter number 33
Book title
Computational Statistics
Published by
Physica, Heidelberg, January 1992
DOI 10.1007/978-3-662-26811-7_33
Book ISBNs
978-3-66-226813-1, 978-3-66-226811-7
Authors

J. H. Badsberg, Badsberg, J. H.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Unspecified 1 13%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Other 1 13%
Other 2 25%
Readers by discipline Count As %
Arts and Humanities 1 13%
Unspecified 1 13%
Mathematics 1 13%
Business, Management and Accounting 1 13%
Linguistics 1 13%
Other 3 38%

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