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Computing Science and Statistics

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Cover of 'Computing Science and Statistics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Bootstrap Confidence Intervals in Curve Estimation
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    Chapter 2 Bayesian Radial Basis Function Interpolation
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    Chapter 3 Graphic-Aided Design of Experiments
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    Chapter 4 Bayesian Inference for Hard Problems Using the Gibbs Sampler
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    Chapter 5 Asymptotic Evaluation of Integrals Arising in Bayesian Inference
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    Chapter 6 Data Redundancy for the Detection and Tolerance of Software Faults
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    Chapter 7 Solution of Sparse Weighted and Equality Constrained Least Squares Problems
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    Chapter 8 Nonnegatively Constrained Confidence Interval Estimation for Ill-Posed Problems
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    Chapter 9 On the Double Bootstrap
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    Chapter 10 Empirical Likelihood and Small Samples
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    Chapter 11 Bootstrap Tests and Confidence Intervals for a Hazard Ratio When the Number of Observed Failures is Small, With Applications to Group Sequential Survival Studies
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    Chapter 12 A Nonparametric Resampling Procedure for Multivariate Confidence Regions in Time Series Analysis
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    Chapter 13 Sequential Design for the Nonparametric Regression of Curves and Surfaces
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    Chapter 14 Local Bandwidth Selection for Density Estimation
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    Chapter 15 Displays for Data from Large Designed Experiments
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    Chapter 16 The Grand Tour in k-Dimensions
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    Chapter 17 Diagnostics for Additive Spline Models
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    Chapter 18 Smooth Mixture Estimation from Multichannel Image Data
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    Chapter 19 Image Reconstruction Using A Priori Boundary Information
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    Chapter 20 Simple Monte Carlo P-Values
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    Chapter 21 A Constructive Proof and An Extension of Cybenko’s Approximation Theorem
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    Chapter 22 Learning Algorithms for Artifical Neural Nets for Analog Circuit Implementation
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    Chapter 23 Modeling the Dynamics of Transaction Prices on the NYSE in a Bayesian State-Space Filtering Framework
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    Chapter 24 APL as a Statistical Specification Language
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    Chapter 25 Nonparametric Estimation of Conditional Quantiles Using Neural Networks
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    Chapter 26 Techniques for Developing and Applying Polynomial Network Synthesis Software
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    Chapter 27 Systematic Intialization of Local Search Procedures and Applications to the Synthesis of Neural Networks
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    Chapter 28 An Innovations Approach for Interpolating a Random Surface Based on Sparse Data
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    Chapter 29 Space-Time ARMA Models for Satellite Ozone Data
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    Chapter 30 Unification of Statistical Methods for Continuous and Discrete Data
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    Chapter 31 Some Issues in Bayesian Nonparametrics
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    Chapter 32 Scalable Techniques for Modeling Software Interconnectivity
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    Chapter 33 The Use of Complexity Metrics Throughout the Software Lifecycle
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    Chapter 34 Evaluating the Quality of Software Quality Indicators
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    Chapter 35 Algorithmic Statistical Process Control: The Concept, An Elaboration
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    Chapter 36 A New Exact Runs Test for Randomness
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    Chapter 37 Algorithms for Bayesian Computing and Mathematica
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    Chapter 38 Bootstrap Inference Relating to Pr[ X < Y ]
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    Chapter 39 Breaking Dependence in Graphical Belief Models
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    Chapter 40 Inference for Spatial Time Series
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    Chapter 41 Maximum Likelihood Transfer Function Modelling
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    Chapter 42 Simulation vs. Practice: Estimation of the Distribution Function of a Finite Population
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    Chapter 43 Simulation of Polarized Radar Signals Using Multivariate Complex Gaussian and Exponential Series
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    Chapter 44 Evaluating Functions over Lattices
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    Chapter 45 The Fallacy of Shotgun Correlations for Software Measures
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    Chapter 46 Multivariate Congruential Methods
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    Chapter 47 Measuring the Local Dimension of Point Clouds
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    Chapter 48 Estimation of Generalized Poisson Distribution by the Method of Weighted Discrepancies
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    Chapter 49 Confidence Intervals on Individual Variances in Unbalanced Models with Missing Cells
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    Chapter 50 Computing Percentage Points of Run Length of an Exponentially Weighted Moving Average Control Chart
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    Chapter 51 A Graphical Tool for Exploring Simulated Sampling Distributions
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    Chapter 52 Asymptotic Optimality of Extended Non-Delete Set Compound Rules for Classification Between N(-1,1) and N(1,1)
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    Chapter 53 Comparison of Empirical Bayes and Extended Set Compound Rules for Classification of a Sequence of Crop Types
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    Chapter 54 Comparison of the Gauss—Christoffel and Gauss—Galerkin Approximations of the Law of the Solution of Some Stochastic Differential Equations
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    Chapter 55 Simulating the Performance of Estimators of the Number of Duplicates in a Database
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    Chapter 56 Using the Fast Fourier Transform to Compute Some Multiple Comparisons Critical Values
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    Chapter 57 Model Fitting With Tree-Structured Regression
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    Chapter 58 Verifying Small Sample Bootstrap Estimates of Species Interactions
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    Chapter 59 Three-dimensional Contour Projections from Objective Functions
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    Chapter 60 A Review of the Controlled Rounding Problem
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    Chapter 61 Simulated Power Comparisons of MRBP Rank Tests for Three Treatments
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    Chapter 62 Exact Computation of the Wilcoxon Signed Rank Distribution with Zeros and Ties
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    Chapter 63 Optimal Quantile Principle for Selecting Variable Bandwidth in Regression Estimators
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    Chapter 64 Estimating the Parameters of the Complex Valued Exponential Signals
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    Chapter 65 Sensitivity Analysis for Conceptual Design
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    Chapter 66 Wrapping Mathematical Tools
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    Chapter 67 Improving the EM Algorithm
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    Chapter 68 Use of Bootstrapping to Evaluate Infrequent Genetic Abnormalities as Prognostic Factors for Survival in Human Acute Leukemias
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    Chapter 69 An Efficient Method for Noncentral Beta Probabilities When Parameters Are Small or Moderate
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    Chapter 70 Testing the Random Number Tests
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    Chapter 71 Use of the Bootstrap in a High Energy Physics Experiment
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    Chapter 72 Bilinear ( p , 0, 1, 1) Model and its Consistent Identification
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    Chapter 73 Stochastic Approximation in Bootstrap and Bayesian Approaches to Interval Estimation in Hierarchical Models
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    Chapter 74 SHAW: An Auditor for S
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    Chapter 75 Conditioning for Variance Reduction in Estimating the Sensitivity of Simulations
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    Chapter 76 Computing the Symmetries and Exponents of Operator-Stable Laws
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    Chapter 77 Dwyer Functions D U and Their Applications to Sampling Without Replacement from a Finite Population
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    Chapter 78 On the Distribution of the Sample Correlation Coefficient
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    Chapter 79 Interpretable Exploratory Projection Pursuit
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    Chapter 80 Recursive Algorithms and Constructs for Multidimensional Table Computations
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    Chapter 81 The Spreadsheet as a Statistical Platform
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    Chapter 82 Computational Aspects of Dirichlet Distribution
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    Chapter 83 An Object-Oriented Architecture for Statistical Software
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    Chapter 84 Probability Plots and Modern Statistical Software
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    Chapter 85 Situations, Summaries and Model Objects
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    Chapter 86 Measuring the Dispersion of Cancer Mortality Rates by the Interquartile Range
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    Chapter 87 Generalized Projection Pursuit Regression and Density Approximation
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    Chapter 88 Patterns of Yielding Significant Regression Interaction Terms
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    Chapter 89 Supercomputer-Intensive Multivariable Randomization Tests
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    Chapter 90 Nonlinear Canonical Correlation Analysis with Simulated Annealing Solution
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    Chapter 91 Computing Probabilites for the Difference of Two t-Variables
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    Chapter 92 Two Line Sampling Plans: A Path-Counting Problem
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    Chapter 93 An EM Algorithm for Estimating Log Linear Models with Additional Marginal Constraints
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    Chapter 94 Surface Fitting With Orthogonal Additive Models
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    Chapter 95 Some Computational Aspects in Projection Pursuit
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    Chapter 96 Xgobi: A Dynamic Graphics Program Implemented in X With a Link to S
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    Chapter 97 Distance Based Binary Matching
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    Chapter 98 Influence Diagnostics for a Class of Biased Estimators in Regression
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    Chapter 99 A Bread-and-Butter Algorithm for Probability Integrals
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    Chapter 100 Generating Mixed Multilevel Orthogonal Arrays By Simulated Annealing
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    Chapter 101 Bootstrap Evaluation of Calibration Procedures Used for Decision Rules in the Fellegi-Sunter Model of Record Linkage
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    Chapter 102 Smoothing Curves in Manifolds
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    Chapter 103 Estimating Optimal Transformations for Correlation and Coherence
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    Chapter 104 Parallel Bootstrap and Inference for Means
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    Chapter 105 Bootstrap Methods for Extreme Order Statistics
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Title
Computing Science and Statistics
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4612-2856-1
ISBNs
978-0-387-97719-5, 978-1-4612-2856-1
Editors

Page, Connie, LePage, Raoul

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The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Professor 4 40%
Student > Ph. D. Student 3 30%
Researcher 2 20%
Unknown 1 10%
Readers by discipline Count As %
Mathematics 2 20%
Social Sciences 2 20%
Economics, Econometrics and Finance 2 20%
Agricultural and Biological Sciences 1 10%
Energy 1 10%
Other 1 10%
Unknown 1 10%