SKU: 14214751329

Introduction to Time Series Modeling with Applications in R

Sale price$117.00 Regular price$130.00
Save 10%

Pay in installments of $32.50 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 16 - Aug 21

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Introduction to Time Series Modeling with Applications in RPraise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non linear and non Gaussian modeling. [It] is a valuable book, especially with its broad and accessible introduction of models in the state space framework. Statistics in MedicineWhat distinguishes this book from comparable introductory texts is the use of state space modeling. Along with this come a number of valuable tools for

Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. -Statistics in MedicineWhat distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters. -MAA ReviewsIntroduction to Time Series Modeling with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely available R package TSSS to perform computations for their own real-world time series problems. This book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models and model selection by AIC. Along with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models. About the Author:Genshiro Kitagawa is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 14214751329

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 9 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
S
Verified Purchase
Swathi Panditi
Pawtucket, US
★★★★★ 3
Good but not cloth material
Color: Beige, Size: 8
Suit was good but material was kind of old fashioned. In Pictures cloth looks very different compared to in real. Fitting wise I m satisfied but not cloth material.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 8, 2025
A
Verified Purchase
Amy Johnson
Los Angeles, US
★★★★★ 5
Worth it.
Color: Dark Brown, Size: 10
Adorable. Great quality. Fun little suit.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2026
S
Verified Purchase
Sara Stolt
Lake Worth, US
★★★★★ 5
Handsome Son, Great Suit
Color: Brown, Size: 8, Color: Brown, Size: 8
We ordered this for my 9 yr old son who walked me down the aisle when I got married. It fit perfectly, was a great value, good quality, and looked great on him! The tweed pattern and color were perfect for the wedding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 5, 2025
C
Verified Purchase
ciera cox
Houston, US
★★★★★ 5
Give me 100 more!
Color: Green, Size: 6, Color: Green, Size: 6
ADORABLE. perfect fit, amazing strong structured material. I’ll take one in every color!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 2, 2026
J
Verified Purchase
Julio D. Portillo
Louisville, US
★★★★★ 5
Adorable!!!
Color: Green, Size: 3, Color: Green, Size: 3
This suit is adorable! I got it in 2 colors. Made the perfect Christmas picture outfits. The quality is great. I got them 1 size up so they could fit in it longer, and size up was a little big as expected. Im happy they will fit in them for another year.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 15, 2026

recommand products