Time Series Analysis With Applications in R
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two c
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Jonathan D.Cryer Kung-Sik Chan
Time Series Analysis With Applications in R
Second Edition
Statistics Texts in Statistics Series Editors: G. Casella S. Fienberg I. Olkin
Springer Texts in Statistics Athreya/Lahiri: Measure Theory and Probability Theory Bilodeau/Brenner: Theory of Multivariate Statistics Brockwell/Davis: An Introduction to Time Series and Forecasting Carmona: Statistical Analysis of Financial Data in S-PLUS Chow/Teicher: Probability Theory: Independence, Interchangeability, Martingales, 3rd ed. Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization, 2nd ed. Christensen: Log-Linear Models and Logistic Regression, 2nd ed. Christensen: Plane Answers to Complex Questions: The Theory of Linear Models, 2nd ed. Cryer/Chan: Time Series Analysis, Second Edition Davis: Statistical Methods for the Analysis of Repeated Measurements Dean/Voss: Design and Analysis of Experiments Dekking/Kraaikamp/Lopuhaä/Meester: A Modern Introduction to Probability and Statistics Durrett: Essential of Stochastic Processes Edwards: Introduction to Graphical Modeling, 2nd ed. Everitt: An R and S-PLUS Companion to Multivariate Analysis Gentle: Matrix Algebra: Theory, Computations, and Applications in Statistics Ghosh/Delampady/Samanta: An Introduction to Bayesian Analysis Gut: Probability: A Graduate Course Heiberger/Holland: Statistical Analysis and Data Display; An Intermediate Course with Examples in S-PLUS, R, and SAS Jobson: Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods Karr: Probability Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems Lange: Applied Probability Lange: Optimization Lehmann: Elements of Large Sample Theory Lehmann/Romano: Testing Statistical Hypotheses, 3rd ed. Lehmann/Casella: Theory of Point Estimation, 2nd ed. Longford: Studying Human Popluations: An Advanced Course in Statistics Marin/Robert: Bayesian Core: A Practical Approach to Computational Bayesian Statistics Nolan/Speed: Stat Labs: Mathematical Statistics Through Applications Pitman: Probability Rawlings/Pantula/Dickey: Applied Regression Analysis Robert: The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation, 2nd ed. Robert/Casella: Monte Carlo Statistical Methods, 2nd ed. Rose/Smith: Mathematical Statistics with Mathematica Ruppert: Statistics and Finance: An Introduction Sen/Srivastava: Regression Analysis: Theory, Methods, and Applications. Shao: Mathematical Statistics, 2nd ed. Shorack: Probability for Statisticians Shumway/Stoffer: Time Series Analysis and Its Applications, 2nd ed. Simonoff: Analyzing Categorical Data Terrell: Mathematical Statistics: A Unified Introduction Timm: Applied Multivariate Analysis Toutenberg: Statistical Analysis of Designed Experiments, 2nd ed. Wasserman: All of Nonparametric Statistics Wasserman: All of Statistics: A Concise Course in Statisti
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