Name: Analysis of Time Series
SKU: 133060542
Price: 208260 KRW
Availability: SoldOut
Author: Chris Chatfiel
ISBN: 9781138742949

카트

이미지 검색을 사용해 보세요

검색창 이전화면 이전화면

최근 검색어: 전체삭제

인기 검색어

닫기

사이즈비교 공유하기

소득공제 수입

Chapman & Hall/CRC Texts in Statistical Science

직수입양서 Analysis of Time Series

An Introduction, Sixth Edition Hardback, 6th Edition

바인딩/에디션 안내

Chris Chatfiel

Chapman and Hall/CRC 2025.05.23.

회원리뷰 첫번째 리뷰어가 되어주세요

직수입외서는 변심/착오로 인해 주문을 취소할 경우 해외주문 취소수수료 20%가 부과됩니다.?

가격: 231,410원

10 208,260

YES포인트?: 10,420원 (5%) 마니아추가적립

5만원 이상 구매 시 2천원 추가 적립

앱 다운 시 1천원 상품권

결제혜택: 최대 6만원 캐시백

이미 소장하고 있다면 판매해 보세요.

예스24에 팔기 바이백 신청 불가 내 가게에서 팔기

국내배송만 가능
해외 거래처 사정에 의하여 품절/지연 가능
도서 정보 중 미표기 사항 안내?
문화비소득공제 가능

시리즈 태그 업체 공지사항 중고직수입양서 소개 구성 소개 특별 구성 MD 한마디 카드뉴스 상세 이미지 책소개 관련 동영상 목차 저자 소개 관련분류 품목정보 만든이 코멘트 예스24 리뷰 책 속으로 줄거리 캐스팅 관련 자료 부가 영상 출판사 리뷰 전문가 리뷰 추천평

펼치기/닫기

Chapman & Hall/CRC Texts in Statistical Science

Introduction to Modern Randomization-Based Design and Analysis for Causal Inference

10% 176,680원

Introduction to Modern Randomization-Based Design and Analysis for Causal Inference 이동
Regressions in Covariances, Dependencies and Graphs

10% 262,940원

Regressions in Covariances, Dependencies and Graphs 이동
Analysis of Time Series

10% 395,470원

Analysis of Time Series 이동
Analysis of Time Series

10% 143,020원

Analysis of Time Series 이동
Course in Large-Sample and High-Dimensional Theory

10% 218,760원

Course in Large-Sample and High-Dimensional Theory 이동
Geostatistical modelling with R

10% 130,410원

Geostatistical modelling with R 이동
Statistical Modeling and Data Analysis

10% 147,240원

Statistical Modeling and Data Analysis 이동
Nonparametric Inference

10% 218,760원

Nonparametric Inference 이동
Markov Chain Monte Carlo

10% 361,810원

Markov Chain Monte Carlo 이동
Markov Chain Monte Carlo

10% 132,500원

Markov Chain Monte Carlo 이동
Course in Regression and Smoothing Methods

10% 218,760원

Course in Regression and Smoothing Methods 이동
Foundations of Bayesian Statistics for Data Scientists

10% 361,810원

Foundations of Bayesian Statistics for Data Scientists 이동
Foundations of Bayesian Statistics for Data Scientists

10% 132,500원

Foundations of Bayesian Statistics for Data Scientists 이동
Survival Analysis

10% 218,760원

Survival Analysis 이동
Experimental Design for Data Science and Engineering

10% 218,760원

Experimental Design for Data Science and Engineering 이동
Time Series

10% 157,750원

Time Series 이동
Time Series

10% 441,780원

Time Series 이동
Bayesian Statistical Methods

10% 218,760원

Bayesian Statistical Methods 이동
Statistics in Survey Sampling

10% 218,760원

Statistics in Survey Sampling 이동
Exercises and Solutions in Probability and Statistics

10% 86,220원

Exercises and Solutions in Probability and Statistics 이동
Exercises and Solutions in Probability and Statistics

10% 307,120원

Exercises and Solutions in Probability and Statistics 이동
Analysis of Time Series

10% 208,260원

Analysis of Time Series 이동
Exercises in Statistical Reasoning

10% 361,810원

Exercises in Statistical Reasoning 이동
Exercises in Statistical Reasoning

10% 126,190원

Exercises in Statistical Reasoning 이동
Applied Nonparametric Statistical Methods

10% 218,760원

Applied Nonparametric Statistical Methods 이동
Linear Models with R

10% 218,760원

Linear Models with R 이동
Introduction to General and Generalized Linear Models

10% 103,050원

Introduction to General and Generalized Linear Models 이동
Analysis of Categorical Data with R

10% 182,990원

Analysis of Categorical Data with R 이동
First Course in Causal Inference

10% 145,130원

First Course in Causal Inference 이동
Practical Statistics for Medical Research

10% 124,090원

Practical Statistics for Medical Research 이동
더보기

책소개

Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated the material to reflect advances in the field, and presented interesting new data sets. The sixth edition is no exception. It provides an accessible, comprehensive introduction to the theory and practice of time series analysis. The treatment covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. The author has carefully updated each chapter, added new discussions, incorporated new datasets, and made those datasets available for download from www.crcpress.com. A free online appendix on time series analysis using R can be accessed at . Highlights of the Sixth Edition:<ul> <li>A new section on handling real data</li> <li>New discussion on prediction intervals</li> <li>A completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, analyzing time series in finance, and discrete-valued time series</li> <li>A new chapter of examples and practical advice</li> <li>Thorough updates and revisions throughout the text that reflect recent developments and dramatic changes in computing practices over the last few years</li> </ul> The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be daunting. The accessibility, polished presentation, and broad coverage of The Analysis of Time Series make it simply the best introduction to the subject available.

책소개 더보기펼치기

Introduction. Simple Descriptive Techniques. Probability Models for Time Series. Estimation in the Time Domain. Forecasting. Stationary Processes in the Frequency Domain. Spectral Analysis. Bivariate Processes. Linear Systems. State-Space Models and the Kalman Filter. Non-Linear Models. Multivariate Time-Series Modelling. Some Other Topics. Appendices.

목차 더보기펼치기