Entdecke #BookTok

044 209 91 25 079 869 90 44

Die Merkliste ist leer.

Der Warenkorb ist leer.

Kostenloser Versand möglich

Registrieren Passwort vergessen?

Kostenloser Versand möglich

Bitte warten - die Druckansicht der Seite wird vorbereitet.

Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Druckansicht verlassenErneut drucken

Time Series: Theory and Methods

ISBN/GTIN

Time Series: Theory and Methods

von

Davis, Richard A.Brockwell, Peter J.

BuchGebunden

Verkaufsrang16631inMathematik

CHF171.00

In den Warenkorb

Details

ISBN/GTIN978-3-540-97429-1

ProduktartBuch

EinbandGebunden

VerlagSpringer New York

Erscheinungsdatum22.02.1991

Auflage91002 A. 2nd ed

ReiheSpringer Series in Statistics

Seiten600 Seiten

SpracheEnglisch

MasseBreite 160 mm, Höhe 241 mm, Dicke 38 mm

Gewicht1057 g

Artikel-Nr.1539442

KatalogBuchzentrum

Datenquelle-Nr.29372372

WarengruppeMathematik

Weitere Details

Reihe

Statistical Decision Theory and Bayesian Analysis

Asymptotic Methods in Statistical Decision Theory

Goodness-Of-Fit Statistics for Discrete Multivariate Data

Smoothing Techniques

Time Series: Theory and Methods

The Bootstrap and Edgeworth Expansion

Theory of Statistics

The Jackknife and Bootstrap

The Bootstrap and Edgeworth Expansion

Statistical Models Based on Counting Processes

Advanced Statistics

The Statistical Theory of Shape

Smoothing Methods in Statistics

Tools for Statistical Inference

Nonparametric Smoothing and Lack-Of-Fit Tests

Bayesian Forecasting and Dynamic Models

Arch Models and Financial Applications

Quasi-Likelihood and Its Application

Exponential Families of Stochastic Processes

Fitting Linear Relationships

Conditional Specification of Statistical Models

Orthogonal Arrays

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Statistical Methods in Software Engineering

Nonparametric Curve Estimation

Interpolation of Spatial Data

Subsampling

Monte Carlo Methods in Bayesian Computation

Asymptotics in Statistics

Robust Diagnostic Regression Analysis

Asymptotic Theory of Statistical Inference for Time Series

Linear Mixed Models for Longitudinal Data

Combinatorial Methods in Density Estimation

Chaos: A Statistical Perspective

Multivariate Statistical Modelling Based on Generalized Linear Models

Bayesian Survival Analysis

Scan Statistics

A Distribution-Free Theory of Nonparametric Regression

Observational Studies

Statistical Tools for Nonlinear Regression

Resampling Methods for Dependent Data

Elements of Multivariate Time Series Analysis

Model Assisted Survey Sampling

Bayesian Nonparametrics

Partial Identification of Probability Distributions

Permutation, Parametric, and Bootstrap Tests of Hypotheses

Exploring Multivariate Data with the Forward Search

Nonparametric and Semiparametric Models

Inference in Hidden Markov Models

Modern Multidimensional Scaling

Statistical Demography and Forecasting

Functional Data Analysis

Nonlinear Time Series

Nonparametric Functional Data Analysis

Sampling Algorithms

Non-Negative Matrices and Markov Chains

Semiparametric Theory and Missing Data

Model-based Geostatistics

Life Distributions

Linear and Generalized Linear Mixed Models and Their Applications

Permutation Methods

Indirect Sampling

Correlated Data Analysis: Modeling, Analytics, and Applications

Information Criteria and Statistical Modeling

Multiscale Modeling

Linear Models and Generalizations

Multiple Testing Procedures with Applications to Genomics

Simulation and Inference for Stochastic Differential Equations

Statistical Decision Theory

Introduction to Empirical Processes and Semiparametric Inference

Bayesian Reliability

Statistical Learning from a Regression Perspective

Introduction to Nonparametric Estimation

The Elements of Statistical Learning

Statistical Analysis of Network Data

Maximum Penalized Likelihood Estimation

Time Series: Theory and Methods

Monte Carlo and Quasi-Monte Carlo Sampling

Resampling Methods for Dependent Data

Introduction to Rare Event Simulation

Life Distributions

Models for Discrete Longitudinal Data

Nonparametric Functional Data Analysis

Semiparametric Theory and Missing Data

Model-Based Geostatistics

Finite Mixture and Markov Switching Models

Inference in Hidden Markov Models

Exploring Multivariate Data with the Forward Search

Multiple Testing Procedures with Applications to Genomics

Multiscale Modeling

Statistical Decision Theory

Introduction to Empirical Processes and Semiparametric Inference

Simulation and Inference for Stochastic Differential Equations

Bayesian Reliability

Regression Modeling Strategies

Maximum Penalized Likelihood Estimation

Bayesian Survival Analysis

Sample Survey Theory

The Design and Analysis of Computer Experiments

A Distribution-Free Theory of Nonparametric Regression

Über den/die AutorIn

Davis, Richard A.Brockwell, Peter J.

Weitere Produkte von Davis, Richard A.

The Rhyme Mine

The Rhyme Mine: A Life in Verse

Resisting Occupation

Introduction to Time Series and Forecasting

Introduction to Time Series and Forecasting

Time Series: Theory and Methods

ITSM: An Interactive Time Series Modelling Package for the PC

Beaches of the Gulf Coast

Handbook of Discrete-Valued Time Series

Intangibles of Leadership

The Practical Jokers

Handbook of Financial Time Series

The Intangibles of Leadership

Selected Works of Murray Rosenblatt

Beaches and Coasts

Handbook of Discrete-Valued Time Series

Internal Affairs: How to Mend a Wounded Soul

Beaches and Coasts

ITSM, An Interactive Time Series Modelling Package for the PC, w. 3 diskettes (5 1/4 and 3 1/2 inch)

Beaches and Coasts

Introduction to Time Series and Forecasting

Introduction to Time Series and Forecasting

ITSM: An Interactive Time Series Modelling Package for the PC

Time Series: Theory and Methods

ITSM for Windows

ITSM for Windows

ITSM: An Interactive Time Series Modelling Package for the PC

Time Series: Theory and Methods

Introduction to Time Series and Forecasting

The Practical Jokers