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Monographs on statistics and applied probability

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Monographs on statistics and applied probability

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Chapman and Hall
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Published in -1981 under the title: Monographs on applied probability and statisticsPublisher varies: Chapman & Hall/CRC, CRC Press

Related materials as well as pre- and post-revision versions

Multistate models for the analysis of life history dataLeave the NDL website. Generalized linear modelsLeave the NDL website. Multivariate models and dependence conceptsLeave the NDL website. Statistical inference and simulation for spatial point processesLeave the NDL website. Sequential analysis : hypothesis testing and changepoint detectionLeave the NDL website. Statistical methods for stochastic differential equationsLeave the NDL website. Multidimensional scalingLeave the NDL website. Multivariate dependencies : models, analysis and interpretationLeave the NDL website. Model-free curve estimationLeave the NDL website. Analog estimation methods in econometricsLeave the NDL website. Stochastic analysis for gaussian random processes and fields : with applicationsLeave the NDL website. Nonlinear models for repeated measurement dataLeave the NDL website. Empirical Bayes methodsLeave the NDL website. Generalized linear models with random effects : unified analysis via h-likelihoodLeave the NDL website. Cyclic and computer generated designsLeave the NDL website. Statistical inference : based on the likelihoodLeave the NDL website. Theory of sample surveysLeave the NDL website. Complex stochastic systemsLeave the NDL website. Bandit problems : sequential allocation of experimentsLeave the NDL website. Quasi-least squares regressionLeave the NDL website. Hidden Markov models for time series : an introduction using RLeave the NDL website. The analysis of binary dataLeave the NDL website. Dynamic prediction in clinical survival analysisLeave the NDL website. Robust cluster analysis and variable selectionLeave the NDL website. Regression analysis with applicationsLeave the NDL website. Components of varianceLeave the NDL website. An introduction to the bootstrapLeave the NDL website. Asymptotic analysis of mixed effects models : theory, applications, and open problemsLeave the NDL website. Randomised response-adaptive designs in clinical trialsLeave the NDL website. Analysis of incomplete multivariate dataLeave the NDL website. The theory of the design of experimentsLeave the NDL website. Symmetric multivariate and related distributionsLeave the NDL website. Longitudinal data with serial correlation : a state-space approachLeave the NDL website. Measuring statistical evidence using relative beliefLeave the NDL website. Sequential methods in statisticsLeave the NDL website. Multi-state survival models for interval-censored dataLeave the NDL website. Applications of queueing theoryLeave the NDL website. Semialgebraic statistics and latent tree modelsLeave the NDL website. Hierarchical modeling and analysis for spatial dataLeave the NDL website. Mixed effects models for complex dataLeave the NDL website. Measurement error in nonlinear models : a modern perspectiveLeave the NDL website. Asymptotic techniques for use in statisticsLeave the NDL website. Simultaneous inference in regressionLeave the NDL website. Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysisLeave the NDL website. Variance components estimation : mixed models, methodologies and applicationsLeave the NDL website. Inference and asymptoticsLeave the NDL website. Design and analysis of cross-over trialsLeave the NDL website. Multivariate models and dependence conceptsLeave the NDL website. Introduction to time series modelingLeave the NDL website. Maximum likelihood estimation for sample surveysLeave the NDL website. Transformation and weighting in regressionLeave the NDL website. Hidden Markov models for time series : an introduction using RLeave the NDL website. ROC curves for continuous dataLeave the NDL website. Robust nonparametric statistical methodsLeave the NDL website. Inspection errors for attributes in quality controlLeave the NDL website. Generalized linear modelsLeave the NDL website. Measurement error in nonlinear modelsLeave the NDL website. An introduction to latent variable modelsLeave the NDL website. Multidimensional scalingLeave the NDL website. Local polynomial modelling and its applicationsLeave the NDL website. Point processesLeave the NDL website. Distribution-free statistical methodsLeave the NDL website. Nonparametric regression and generalized linear models : a roughness penalty approachLeave the NDL website. Stereology for statisticiansLeave the NDL website. Diagnostic checks in time seriesLeave the NDL website. Stochastic modelling and controlLeave the NDL website. ClassificationLeave the NDL website. Accelerated life models : modeling and statistical analysisLeave the NDL website. Perfect simulationLeave the NDL website. Semimartingales and their statistical inferenceLeave the NDL website. Analysis of variance for functional dataLeave the NDL website. BiplotsLeave the NDL website. Topics in modelling of clustered dataLeave the NDL website. Kernel smoothingLeave the NDL website. State-space methods for time series analysis : theory, applications and softwareLeave the NDL website. Sufficient dimension reduction : methods and applications with RLeave the NDL website. Tensor methods in statisticsLeave the NDL website. Introduction to high-dimensional statisticsLeave the NDL website. Asymptotic analysis of mixed effects models : theory, applications, and open problemsLeave the NDL website. Introduction to time series modeling with applications in RLeave the NDL website. Functional data analysis with RLeave the NDL website. Mixture models : parametric, semiparametric, and new directionsLeave the NDL website. Models for dependent time seriesLeave the NDL website. Stochastic geometry : likelihood and computationLeave the NDL website. Mean field simulation for Monte Carlo integrationLeave the NDL website. Design and analysis of cross-over trialsLeave the NDL website. Antedependence models for longitudinal dataLeave the NDL website. Number-theoretic methods in statisticsLeave the NDL website. Hidden Markov and other models for discrete-valued time seriesLeave the NDL website. Analysis of survival dataLeave the NDL website. Computer-assisted analysis of mixtures and applications : meta-analysis, disease mapping and othersLeave the NDL website. Hierarchical modeling and analysis for spatial dataLeave the NDL website. Empirical likelihoodLeave the NDL website. Missing and modified data in nonparametric estimation : with R examplesLeave the NDL website. Statistical evidence : a likelihood paradigmLeave the NDL website. An introduction to the bootstrapLeave the NDL website. Subset selection in regressionLeave the NDL website. Introduction to high-dimensional statisticsLeave the NDL website. Joint modeling of longitudinal and time-to-event dataLeave the NDL website. Local polynomial modelling and its applicationsLeave the NDL website. Measurement error in nonlinear modelsLeave the NDL website. Residuals and influence in regressionLeave the NDL website. Multivariate kernel smoothing and its applicationsLeave the NDL website. Expansions and asymptotics for statisticsLeave the NDL website. Analysis of binary dataLeave the NDL website. Statistical analysis of spatial and spatio-temporal point patternsLeave the NDL website. Empirical Bayes methodsLeave the NDL website. Probabilistic Foundations of Statistical Network AnalysisLeave the NDL website. Symmetric multivariate and related distributionsLeave the NDL website. Generalized linear modelsLeave the NDL website. Algebraic statistics : computational commutative algebra in statisticsLeave the NDL website. Statistical evidence : a likelihood paradigmLeave the NDL website. Monte Carlo methodsLeave the NDL website. Pareto distributionsLeave the NDL website. Analysis of quantal response dataLeave the NDL website. Networks and chaos : statistical and probabilistic aspectsLeave the NDL website. Probabilistic foundations of statistical network analysisLeave the NDL website. Large covariance and autocovariance matricesLeave the NDL website. Statistical inference : an integrated Bayesian/likelihood approachLeave the NDL website. Extreme values in finance, telecommunications, and the environmentLeave the NDL website. Density estimation for statistics and data analysisLeave the NDL website. Statistics in the 21st centuryLeave the NDL website. Extreme value methods with applications to financeLeave the NDL website. Bayesian methods for finite population samplingLeave the NDL website. Constrained principal component analysis and related techniquesLeave the NDL website. Gaussian Markov random fields : theory and applicationsLeave the NDL website. The Analysis of binary dataLeave the NDL website. Analysis of repeated measuresLeave the NDL website. Risk theory : the stochastic basis of insuranceLeave the NDL website. Design and analysis of cross-over trialsLeave the NDL website. Statistical aspects of BSE and vCJD : models for epidemicsLeave the NDL website. Analyzing and modeling rank dataLeave the NDL website. Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametric regression and image analysisLeave the NDL website. Bayes and empirical Bayes methods for data analysisLeave the NDL website. Time series models : in econometrics, finance and other fieldsLeave the NDL website. The analysis of contingency tablesLeave the NDL website. The statistical analysis of multivariate failure time data : a marginal modeling approachLeave the NDL website. Analysis of time series structure : SSA and related techniquesLeave the NDL website. Multivariate dependencies : models, analysis and interpretationLeave the NDL website. Differential geometry and statisticsLeave the NDL website. Statistics for long-memory processesLeave the NDL website. Nonlinear models for repeated measurement dataLeave the NDL website. Density estimation for statistics and data analysisLeave the NDL website. Bayesian inference for partially identified models : exploring the limits of limited dataLeave the NDL website. Generalized additive modelsLeave the NDL website. Circular and linear regression : fitting circles and lines by least squaresLeave the NDL website. The statistical analysis of compositional dataLeave the NDL website. Absolute risk : methods and applications in clinical management and public healthLeave the NDL website. Statistical reasoning with imprecise probabilitiesLeave the NDL website. Practical risk theory for actuariesLeave the NDL website. Tensor methods in statisticsLeave the NDL website. Inferential models : reasoning with uncertaintyLeave the NDL website. Statistical inference : the minimum distance approachLeave the NDL website. Cyclic designsLeave the NDL website. Analysis of infectious disease dataLeave the NDL website. Statistical inferenceLeave the NDL website. Statistical methods for spatio-temporal systemsLeave the NDL website. Subjective probability models for lifetimesLeave the NDL website. Nonlinear time series : semiparametric and nonparametric methodsLeave the NDL website. Set-indexed martingalesLeave the NDL website. The theory of dispersion modelsLeave the NDL website. Statistical learning with sparsity : the lasso and generalizationsLeave the NDL website. Mixed Poisson processesLeave the NDL website. Mean field simulation for Monte Carlo integrationLeave the NDL website. Theory of factorial design : single- and multi-stratum experimentsLeave the NDL website. Smoothing splines : methods and applicationsLeave the NDL website. Generalized linear models with random effects : unified analysis via H-likelihoodLeave the NDL website. Predictive inference : an introductionLeave the NDL website. Dependence modeling with copulasLeave the NDL website. QueuesLeave the NDL website. Markov models and optimizationLeave the NDL website. Subset selection in regressionLeave the NDL website. The analysis of contingency tablesLeave the NDL website. Retrial queuesLeave the NDL website. Nonparametric models for the longitudinal data with implementation in RLeave the NDL website. Time series models : in econometrics, finance and other fieldsLeave the NDL website. Sequential change detection and hypothesis testing : general non-i.i.d. stochastic models and asymptotically optimal rulesLeave the NDL website. Replication and evidence factors in observational studiesLeave the NDL website. Smoothing splines : methods and applicationsLeave the NDL website. Introduction to high-dimensional statisticsLeave the NDL website. Sparse graphical modeling for high dimensional data : a paradigm of conditional independence testsLeave the NDL website. Dependence modeling with copulasLeave the NDL website. Functional data analysis with RLeave the NDL website. Analysis of incomplete multivariate dataLeave the NDL website. Martingale methods in statisticsLeave the NDL website. Generalized linear modelsLeave the NDL website. Dynamic treatment regimes : statistical methods for precision medicineLeave the NDL website. Analysis of infectious disease dataLeave the NDL website. Object oriented data analysisLeave the NDL website. An introduction to the bootstrapLeave the NDL website. The energy of data and distance correlationLeave the NDL website. Bayesian nonparametrics for causal inference and missing dataLeave the NDL website. Statistical learning with sparsity : the lasso and generalizationsLeave the NDL website. Statistical evidence : a likelihood paradigmLeave the NDL website. Introduction to time series modeling with applications in RLeave the NDL website.

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Paper

Material Type
図書
Publication, Distribution, etc.
Place of Publication (Country Code)
uk
Target Audience
一般
Note (General)
Published in -1981 under the title: Monographs on applied probability and statistics
Publisher varies: Chapman & Hall/CRC, CRC Press
Related Material
Multistate models for the analysis of life history data
Generalized linear models
Multivariate models and dependence concepts
Statistical inference and simulation for spatial point processes
Sequential analysis : hypothesis testing and changepoint detection
Statistical methods for stochastic differential equations
Multidimensional scaling
Multivariate dependencies : models, analysis and interpretation
Model-free curve estimation
Analog estimation methods in econometrics
Stochastic analysis for gaussian random processes and fields : with applications
Nonlinear models for repeated measurement data
Empirical Bayes methods
Generalized linear models with random effects : unified analysis via h-likelihood
Cyclic and computer generated designs
Statistical inference : based on the likelihood
Theory of sample surveys
Complex stochastic systems
Bandit problems : sequential allocation of experiments
Quasi-least squares regression
Hidden Markov models for time series : an introduction using R
The analysis of binary data
Dynamic prediction in clinical survival analysis
Robust cluster analysis and variable selection
Regression analysis with applications
Components of variance
An introduction to the bootstrap
Asymptotic analysis of mixed effects models : theory, applications, and open problems
Randomised response-adaptive designs in clinical trials
Analysis of incomplete multivariate data
The theory of the design of experiments
Symmetric multivariate and related distributions
Longitudinal data with serial correlation : a state-space approach
Measuring statistical evidence using relative belief
Sequential methods in statistics
Multi-state survival models for interval-censored data
Applications of queueing theory
Semialgebraic statistics and latent tree models
Hierarchical modeling and analysis for spatial data
Mixed effects models for complex data
Measurement error in nonlinear models : a modern perspective
Asymptotic techniques for use in statistics
Simultaneous inference in regression
Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis
Variance components estimation : mixed models, methodologies and applications
Inference and asymptotics
Design and analysis of cross-over trials
Multivariate models and dependence concepts
Introduction to time series modeling
Maximum likelihood estimation for sample surveys
Transformation and weighting in regression
Hidden Markov models for time series : an introduction using R
ROC curves for continuous data
Robust nonparametric statistical methods
Inspection errors for attributes in quality control
Generalized linear models
Measurement error in nonlinear models
An introduction to latent variable models
Multidimensional scaling
Local polynomial modelling and its applications
Point processes
Distribution-free statistical methods
Nonparametric regression and generalized linear models : a roughness penalty approach
Stereology for statisticians
Diagnostic checks in time series
Stochastic modelling and control
Classification
Accelerated life models : modeling and statistical analysis
Perfect simulation
Semimartingales and their statistical inference
Analysis of variance for functional data
Biplots
Topics in modelling of clustered data
Kernel smoothing
State-space methods for time series analysis : theory, applications and software
Sufficient dimension reduction : methods and applications with R
Tensor methods in statistics
Introduction to high-dimensional statistics
Asymptotic analysis of mixed effects models : theory, applications, and open problems
Introduction to time series modeling with applications in R
Functional data analysis with R
Mixture models : parametric, semiparametric, and new directions
Models for dependent time series
Stochastic geometry : likelihood and computation
Mean field simulation for Monte Carlo integration
Design and analysis of cross-over trials
Antedependence models for longitudinal data
Number-theoretic methods in statistics
Hidden Markov and other models for discrete-valued time series
Analysis of survival data
Computer-assisted analysis of mixtures and applications : meta-analysis, disease mapping and others
Hierarchical modeling and analysis for spatial data
Empirical likelihood
Missing and modified data in nonparametric estimation : with R examples
Statistical evidence : a likelihood paradigm
An introduction to the bootstrap
Subset selection in regression
Introduction to high-dimensional statistics
Joint modeling of longitudinal and time-to-event data
Local polynomial modelling and its applications
Measurement error in nonlinear models
Residuals and influence in regression
Multivariate kernel smoothing and its applications
Expansions and asymptotics for statistics
Analysis of binary data
Statistical analysis of spatial and spatio-temporal point patterns
Empirical Bayes methods
Probabilistic Foundations of Statistical Network Analysis
Symmetric multivariate and related distributions
Generalized linear models
Algebraic statistics : computational commutative algebra in statistics
Statistical evidence : a likelihood paradigm
Monte Carlo methods
Pareto distributions
Analysis of quantal response data
Networks and chaos : statistical and probabilistic aspects
Probabilistic foundations of statistical network analysis
Large covariance and autocovariance matrices
Statistical inference : an integrated Bayesian/likelihood approach
Extreme values in finance, telecommunications, and the environment
Density estimation for statistics and data analysis
Statistics in the 21st century
Extreme value methods with applications to finance
Bayesian methods for finite population sampling
Constrained principal component analysis and related techniques
Gaussian Markov random fields : theory and applications
The Analysis of binary data
Analysis of repeated measures
Risk theory : the stochastic basis of insurance
Design and analysis of cross-over trials
Statistical aspects of BSE and vCJD : models for epidemics
Analyzing and modeling rank data
Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametric regression and image analysis
Bayes and empirical Bayes methods for data analysis
Time series models : in econometrics, finance and other fields
The analysis of contingency tables
The statistical analysis of multivariate failure time data : a marginal modeling approach
Analysis of time series structure : SSA and related techniques
Multivariate dependencies : models, analysis and interpretation
Differential geometry and statistics
Statistics for long-memory processes
Nonlinear models for repeated measurement data
Density estimation for statistics and data analysis
Bayesian inference for partially identified models : exploring the limits of limited data
Generalized additive models
Circular and linear regression : fitting circles and lines by least squares
The statistical analysis of compositional data
Absolute risk : methods and applications in clinical management and public health
Statistical reasoning with imprecise probabilities
Practical risk theory for actuaries
Tensor methods in statistics
Inferential models : reasoning with uncertainty
Statistical inference : the minimum distance approach
Cyclic designs
Analysis of infectious disease data
Statistical inference
Statistical methods for spatio-temporal systems
Subjective probability models for lifetimes
Nonlinear time series : semiparametric and nonparametric methods
Set-indexed martingales
The theory of dispersion models
Statistical learning with sparsity : the lasso and generalizations
Mixed Poisson processes
Mean field simulation for Monte Carlo integration
Theory of factorial design : single- and multi-stratum experiments
Smoothing splines : methods and applications
Generalized linear models with random effects : unified analysis via H-likelihood
Predictive inference : an introduction
Dependence modeling with copulas
Queues
Markov models and optimization
Subset selection in regression
The analysis of contingency tables
Retrial queues
Nonparametric models for the longitudinal data with implementation in R
Time series models : in econometrics, finance and other fields
Sequential change detection and hypothesis testing : general non-i.i.d. stochastic models and asymptotically optimal rules
Replication and evidence factors in observational studies
Smoothing splines : methods and applications
Introduction to high-dimensional statistics
Sparse graphical modeling for high dimensional data : a paradigm of conditional independence tests
Dependence modeling with copulas
Functional data analysis with R
Analysis of incomplete multivariate data
Martingale methods in statistics
Generalized linear models
Dynamic treatment regimes : statistical methods for precision medicine
Analysis of infectious disease data
Object oriented data analysis
An introduction to the bootstrap
The energy of data and distance correlation
Bayesian nonparametrics for causal inference and missing data
Statistical learning with sparsity : the lasso and generalizations
Statistical evidence : a likelihood paradigm
Introduction to time series modeling with applications in R
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