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- Springer series in statistics : perspectives in statistics
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- us
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- 一般
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- Methodology and distributionA distribution-free theory of nonparametric regressionNon-negative matrices and Markov chainsNonlinear time series : nonparametric and parametric methodsFoundations and basic theoryThe use of restricted significance tests in clinical trialsFunctional and shape data analysisSequential analysis : tests and confidence intervalsSmoothing techniques : with implementation in SSmoothing spline ANOVA modelsSample survey theory : some Pythagorean perspectivesVector generalized linear and additive models : with an implementation in RThe linear model and hypothesis : a general unifying theorySampling algorithmsStatistical analysis of network data : methods and modelsMonte Carlo strategies in scientific computingMonte Carlo methods in Bayesian computationNonparametric curve estimation : methods, theory and applicationsRegression modeling strategies : with applications to linear models, logistic regression, and survival analysisInference for functional data with applicationsIntroduction to rare event simulationBayesian nonparametricsNonlinear estimationApproximate distributions of order statistics : with applications to nonparametric statisticsResampling methods for dependent dataApplied statistics : a handbook of techniquesMultivariate calculation : use of the continuous groupsThe design and analysis of computer experimentsStatistical demography and forecastingFitting linear relationships : a history of the calculus of observations, 1750-1900Growth curve models and statistical diagnosticsSequential experimentation in clinical trials : design and analysisTime series : theory and methodsGaussian and non-Gaussian linear time series and random fieldsApplied statistics : a handbook of techniquesExploring multivariate data with the forward searchMultivariate analysis with LISRELRobust diagnostic regression analysisPrincipal component analysisAsymptotics in statistics : some basic conceptsUnified methods for censored longitudinal data and causalityWeak convergence and empirical processes : with applications to statisticsParameter estimation and hypothesis testing in spectral analysis of stationary time seriesMultiscale modeling : a Bayesian perspectiveStatistical tools for nonlinear regression : a practical guide with S-PLUS examplesSpectral analysis of large dimensional random matricesLinear mixed models for longitudinal dataStatistical learning from a regression perspectiveObservational studiesPrior processes and their applications : nonparametric Bayesian estimationInference in hidden Markov modelsLinear mixed models for longitudinal dataDensity estimationRobust asymptotic statisticsStatistical models based on counting processesApplied compositional data analysis : with worked examples in RStatistical analysis with measurement error or misclassification : strategy, method and applicationMonte Carlo strategies in scientific computingThe elements of statistical learning : data mining, inference, and predictionDynamic data analysis : modeling data with differential equationsBayesian forecasting and dynamic modelsRank and pseudo-rank procedures for independent observations in factorial designs : using R and SASExponential families of stochastic processesThe Gini methodology : a primer on a statistical methodologyThree or more cropsThe collected works of Wassily HoeffdingTwo cropsSmoothing spline ANOVA modelsStatistical methods in software engineering : reliability and riskThe jackknife and bootstrapTime series : theory and methodsDynamic mixed models for familial longitudinal dataAn introduction to copulasTargeted learning in data science : causal inference for complex longitudinal studiesConditional specification of statistical modelsBayesian forecasting and dynamic modelsThe bootstrap and Edgeworth expansionA course on point processesTools for statistical inference : methods for the exploration of posterior distributions and likelihood functionsARMA model identificationModels for uncertainty in educational testingInterpolation of spatial data : some theory for krigingPermutation methods : a distance function approachStatistical tables for multivariate analysis : a handbook with references to applicationsStatistical decision theory and Bayesian analysisComputing in statistical science through APLApplied functional data analysis : methods and case studiesPermutation, parametric and bootstrap tests of hypothesesThe design and analysis of computer experimentsA statistical model : Frederick Mosteller's contributions to statistics, science, and public policyPoint processes and queues, martingale dynamicsStatistical decision theory : estimation, testing, and selectionInequalities : theory of majorization and its applicationsPrincipal component analysisForecasting the health of elderly populationsSmoothing methods in statisticsQuasi-likelihood and its application : a general approach to optimal parameter estimationContinuous-time Markov chains : an applications-oriented approachInformation criteria and statistical modelingLinear models : least squares and alternativesIndirect samplingIntroduction to empirical processes and semiparametric inferenceMarkov bases in algebraic statisticsFunctional data analysisNon-negative matrices and Markov chainsSimultaneous statistical inferenceStatistics for high-dimensional data : methods, theory and applicationsStatistical learning from a regression perspectiveIntroduction to nonparametric estimationDensity estimationRegression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysisAn introduction to the theory of point processesThe statistical theory of shapeRecursive Partitioning and ApplicationsDesign of observational studiesAn introduction to Sequential Monte CarloDesign of observational studiesTen projects in applied statisticsElements of multivariate time series analysisGoodness-of-fit statistics for discrete multivariate dataCorrelated data analysis : modeling, analytics, and applicationsA comparison of the Bayesian and frequentist approaches to estimationSelected papers of Frederick MostellerTheory of statisticsModeling discrete time-to-event dataAspects of risk theoryMultivariate statistical modelling based on generalized linear modelsNon-negative matrices and Markov chainsPrediction theory for finite populationsFunctional data analysisAsymptotic theory of statistical inference for time seriesDescription of populationsSubsamplingConcepts of nonparametric theorySample survey theory : some Pythagorean perspectivesComparing distributionsStatistical tools for nonlinear regression : a practical guide with S-PLUS and R examplesModern concepts and theorems of mathematical statisticsModels for discrete longitudinal dataStatistical analysis of network data : methods and modelsSemiparametric theory and missing dataPermutation tests : a practical guide to resampling methods for testing hypothesesTime series : theory and methodsRegression modeling strategies : with applications to linear models, logistic regression, and survival analysisChaos : a statistical perspectiveAsymptotics in statistics : some basic conceptsObservational studiesShrinkage estimationSelected papers of Hirotugu AkaikeLinear and generalized linear mixed models and their applicationsPermutation methods : a distance function approachObservational studiesStatistical decision theory, foundations, concepts, and methodsModern multidimensional scaling : theory and applicationsIntroduction to variance estimationPrincipal component analysisThe science of Bradley Efron : selected papersSmoothing methods in statisticsModel assisted survey samplingStatistical decision theory : estimation, testing, and selectionTheory of statisticsThe bootstrap and Edgeworth expansionMeasures of association for cross classificationsPermutation tests : a practical guide to resampling methods for testing hypothesesElements of multivariate time series analysisBayes theoryCorrelation theory of stationary and related random functionsA modern theory of factorial designsNonlinear time series : nonparametric and parametric methodsDesign of observational studiesSimulation and inference for stochastic differential equations : with R examplesBayesian and frequentist regression methodsConvergence of stochastic processesSpatial statistics and modelingStochastic ordersLinear and generalized linear mixed models and their applicationsModel-based geostatisticsIntroduction to variance estimationFunctional data analysisCombinatorial methods in density estimationOrthogonal arrays : theory and applicationsReliability, life testing and the prediction of service lives : for engineers and scientistsMathematical statistics : essays on history and methodologyMonte Carlo and quasi-Monte Carlo samplingSemiparametric and nonparametric methods in econometricsTime series : theory and methodsBayesian nonparametric data analysisOrthogonal arrays : theory and applicationsStatistical inference for ergodic diffusion processesStatistical analysis of environmental space-time processesTools for statistical inference : methods for the exploration of posterior distributions and likelihood functionsThe multivariate normal distributionAnalysis of neural dataStochastic ordersNonparametric smoothing and lack-of-fit testsTargeted learning : causal inference for observational and experimental dataStatistical inference in scienceBayesian reliabilityExact statistical methods for data analysisSmoothing techniques : with implementation in SStochastic climate theory : models and applicationsPartial identification of probability distributionsSimulation and inference for stochastic differential equations : with R examplesApplied Bayesian and classical inference : the case of the Federalist papersNonparametric functional data analysis : theory and practiceExtremes and related properties of random sequences and processesIntroduction to rare event simulationARCH models and financial applicationsElements of multivariate time series analysisLife distributions : structure of nonparametric, semiparametric, and parametric familiesRegressionAsymptotic methods in statistical decision theoryFinite mixture and Markov switching modelsForecasting with exponential smoothing : the state space approachPrinciples and theory for data mining and machine learningModern multidimensional scaling : theory and applicationsMonte Carlo strategies in scientific computingAn introduction to stochastic processes and their applicationsMultiple testing procedures with applications to genomicsParameter estimation and hypothesis testing in spectral analysis of stationary time seriesAn introduction to statistical modeling of extreme valuesBreakthroughs in statisticsTheory of statistical experimentsThe elements of statistical learning : data mining, inference, and predictionModel assisted survey samplingAn introduction to copulasStatistical decision theory and Bayesian analysisModern multidimensional scaling : theory and applicationsExact statistical methods for data analysisAnnotated readings in the history of statisticsTest equating : methods and practicesLongitudinal categorical data analysisEstimation of dependences based on empirical dataNonparametric and semiparametric modelsElements of nonlinear time series analysis and forecastingMultivariate statistical modelling based on generalized linear modelsData : a collection of problems from many fields for the student and research workerLinear models : least squares and alternativesScan statisticsBayesian survival analysisLinear models and generalizations : least squares and alternativesAn introduction to stochastic processes and their applicationsTargeted learning : causal inference for observational and experimental dataLinear and generalized linear mixed models and their applicationsStatistical foundations, reasoning and inference : for science and data scienceSubsamplingTen projects in applied statisticsWeak convergence and empirical processes : with applications to statisticsAn introduction to copulasInequalities : theory of majorization and its applicationsWeak convergence and empirical processes : with applications to statistics
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