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Applied Functional Data Analysis

Applied Functional Data Analysis

ISBN/GTIN

Applied Functional Data Analysis

Methods and Case Studies

von

Ramsay, J. O.Silverman, B. W.

E-BookPDFE-Book

Verkaufsrang16667inMathematik

CHF212.50

In den Warenkorb

Beschreibung

Weitere Beschreibungen

Details

Weitere ISBN/GTIN9780387224657

ProduktartE-Book

EinbandE-Book

FormatPDF

Format HinweisWasserzeichen

VerlagSpringer Us

Erscheinungsdatum23.11.2007

Auflage2002

ReiheSpringer Series in Statistics

Seiten190 Seiten

SpracheEnglisch

IllustrationenXII, 191 p.

Artikel-Nr.10269799

KatalogVC

Datenquelle-Nr.4519680

WarengruppeMathematik

Weitere Details

Reihe

Permutation, Parametric, and Bootstrap Tests of Hypotheses

Finite Mixture and Markov Switching Models

Functional Data Analysis

Sampling Algorithms

Statistical Analysis of Environmental Space-Time Processes

Statistical Demography and Forecasting

Inference in Hidden Markov Models

Models for Discrete Longitudinal Data

Nonparametric Functional Data Analysis

Statistical Tools for Nonlinear Regression

Partial Identification of Probability Distributions

Non-negative Matrices and Markov Chains

Linear Models

Principal Component Analysis

Exponential Families of Stochastic Processes

Bayesian Forecasting and Dynamic Models

A Distribution-Free Theory of Nonparametric Regression

Bayesian Nonparametrics

Correlated Data Analysis: Modeling, Analytics, and Applications

Multiscale Modeling

Permutation Methods

Linear and Generalized Linear Mixed Models and Their Applications

Introduction to Empirical Processes and Semiparametric Inference

Modern Multidimensional Scaling

A Modern Theory of Factorial Design

Semiparametric Theory and Missing Data

Selected Papers of Frederick Mosteller

Stochastic Orders

Information Criteria and Statistical Modeling

An Introduction to Copulas

Introduction to Variance Estimation

Life Distributions

Model-based Geostatistics

Multiple Testing Procedures with Applications to Genomics

Applied Functional Data Analysis

Linear Models and Generalizations

Conditional Specification of Statistical Models

Introduction to Nonparametric Estimation

Bayesian Reliability

Forecasting with Exponential Smoothing

Statistical Learning from a Regression Perspective

Statistical Decision Theory

Nonlinear Time Series

Nonparametric Curve Estimation

Statistical Inference in Science

Linear Mixed Models for Longitudinal Data

Statistical Design and Analysis for Intercropping Experiments

Quasi-Likelihood And Its Application

Spatial Statistics and Modeling

Design of Observational Studies

Monte Carlo and Quasi-Monte Carlo Sampling

Principles and Theory for Data Mining and Machine Learning

Maximum Penalized Likelihood Estimation

Indirect Sampling

Simulation and Inference for Stochastic Differential Equations

Statistical Analysis of Network Data

Spectral Analysis of Large Dimensional Random Matrices

The Elements of Statistical Learning

Time Series: Theory and Methods

Linear Mixed Models for Longitudinal Data

Comparing Distributions

Reliability, Life Testing and the Prediction of Service Lives

A Comparison of the Bayesian and Frequentist Approaches to Estimation

Recursive Partitioning and Applications

Inequalities: Theory of Majorization and Its Applications

Semiparametric and Nonparametric Methods in Econometrics

Statistics for High-Dimensional Data

Targeted Learning

Dynamic Mixed Models for Familial Longitudinal Data

Models for Uncertainty in Educational Testing

Interpolation of Spatial Data

Statistical Methods in Software Engineering

Statistical Design and Analysis for Intercropping Experiments

Applied Statistics

Growth Curve Models and Statistical Diagnostics

Nonparametric and Semiparametric Models

Unified Methods for Censored Longitudinal Data and Causality

Monte Carlo Methods in Bayesian Computation

Elements of Multivariate Time Series Analysis

Applied Statistics

ARMA Model Identification

Extremes and Related Properties of Random Sequences and Processes

Statistical Tables for Multivariate Analysis

Computing in Statistical Science through APL

The Multivariate Normal Distribution

Asymptotics in Statistics

Modern Concepts and Theorems of Mathematical Statistics

Smoothing Methods in Statistics

Combinatorial Methods in Density Estimation

Robust Asymptotic Statistics

Tools for Statistical Inference

Nonlinear Estimation

An Introduction to Stochastic Processes and Their Applications

The Statistical Theory of Shape

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Goodness-of-Fit Statistics for Discrete Multivariate Data

Convergence of Stochastic Processes

Asymptotic Methods in Statistical Decision Theory

Measures of Association for Cross Classifications

A Course on Point Processes

Über den/die AutorIn

Ramsay, J. O.Silverman, B. W.

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