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Large Sample Techniques for Statistics

Large Sample Techniques for Statistics

ISBN/GTIN

Large Sample Techniques for Statistics

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E-BookPDFeBook

Verkaufsrang9889inMathematik

EUR74,89

eBook jetzt bestellen

Beschreibung

Weitere Beschreibungen

Details

Weitere ISBN/GTIN9783030916954

ProduktartE-Book

EinbandeBook

FormatPDF

Format Hinweis1 - PDF Watermark

FormatE107

Verlag

Springer Nature Switzerland

Erschienen am04.04.2022

Auflage2nd ed. 2022

ReiheSpringer Texts in Statistics

Seiten685 Seiten

SpracheEnglisch

Dateigrösse7533 Kbytes

IllustrationenXV, 685 p. 9 illus., 2 illus. in color.

Artikel-Nr.37991890

KatalogVC

Datenquelle-Nr.5227434

KategorieNaturwiss., Med., Informatik, Technik

SachgebietMathematik

Weitere Details

Reihe

Matrix Algebra

Testing Statistical Hypotheses

Time Series Analysis and Its Applications

Measure Theory and Probability Theory

Modeling Longitudinal Data

Probability: A Graduate Course

A Modern Introduction to Probability and Statistics

An R and S-Plus® Companion to Multivariate Analysis

Introduction to Time Series and Forecasting

Statistical Analysis of Financial Data in S-Plus

All of Nonparametric Statistics

Mathematical Statistics

Statistical Analysis of Designed Experiments

Log-Linear Models and Logistic Regression

Stat Labs

Applied Regression Analysis

Design and Analysis of Experiments

Elements of Large-Sample Theory

Probability for Statisticians

Mathematical Statistics

Theory of Point Estimation

An Introduction to Bayesian Analysis

The Bayesian Choice

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Studying Human Populations

Cancer Precursors

Applied Multivariate Analysis

Statistical Models and Methods for Financial Markets

Time Series Analysis

Asymptotic Theory of Statistics and Probability

Statistical Design

Statistical Methods for the Analysis of Repeated Measurements

Applying Generalized Linear Models

Applied Probability

Theory of Multivariate Statistics

Mathematical Statistics

A Modern Approach to Regression with R

An Intermediate Course in Probability

A First Course in Bayesian Statistical Methods

Statistical Analysis of Designed Experiments, Third Edition

Autor

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