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Probability Theory
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Title of the book
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Elementary Statistics: A Step by Step Approach (Written by Allan G. Bluman)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
Fundamentals of Mathematical Statistics (Written by S.C. Gupta, V.K. Kapoor)
Applied Statistics and Probability for Engineers (Written by Douglas C. Montgomery and George C. Runger)
An Introduction to Statistical Methods and Data Analysis (Written by R Lyman Ott and Michael Longnecker)
Managerial Statistics (Written by Gerald Keller)
Statistics - Concepts and Applications (Written by Nabendu Pal and Sahadeb Sarkar)
Mathematical Statistics and Data Analysis (Written by John A. Rice)
John E. Freund's Mathematical Statistics With Applications (Written by John E. Freund)
Probability And Statistics (Written by Morris H. Degroot, Mark J. Schervish)
Introduction To Time Series And Forecasting (Written by Peter J. Brockwell, Richard A. Davis)
About the Book
About the Contributor
Author:
Peter J. Brockwell, Richard A. Davis
Title of the Book:
Introduction To Time Series And Forecasting
Publisher:
Springer-verlag, New York, Usa
Year:
2016
Edition:
3
ISBN:
ISBN 0-387-95351-5
Contributor Name:
Ayush Kumar Nayak, B.Tech., Mechanical Engineering, National Institute of Technology, Rourkela
Reviewer:
R TBC Team
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(Download the R codes for all the solved examples)
Download PDF
(Download the PDF file containing R codes for all the solved examples)
The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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1. Introduction
2. Stationary Processes
3. ARMA Models
4. Spectral Analysis
5. Modeling and Forecasting with ARMA Processes
6. Nonstationary and Seasonal time series models
7. Time Series Models for Financial Data
8. Multivariate Time Series
9. State Space Models
10. Forecasting Techniques
11. Further Topics
Example No. (Caption):
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