Introduction to Time Series Analysis & Forecasting 3/e [Montgomery] 9781394186693

🔸書名:Introduction to Time Series Analysis & Forecasting 3/e
🔸作者:Montgomery
🔸ISBN:9781394186693
⛔書籍商品一經拆除膠膜,除非瑕疵換書不提供退貨與退款
✅訂購數量5本以上另有優惠,請洽LINE客服訂購
優惠售價
NT$1,691
NT$1,780
商品編號: PS0514H

此商品參與的優惠活動

加入最愛
產品介紹

A huge range of fields rely on forecasts of how certain variables and causal factors will affect future outcomes, from product sales to inflation rates to demographic changes. Time series analysis is the branch of applied statistics which generates forecasts, and its sophisticated use of time oriented data can vastly impact the quality of crucial predictions. The latest computing and statistical methodologies are constantly being sought to refine these predictions and increase the confidence with which important actors can rely on future outcomes.

Time Series Analysis and Forecasting presents a comprehensive overview of the methodologies required to produce these forecasts with the aid of time-oriented data sets. The potential applications for these techniques are nearly limitless, and this foundational volume has now been updated to reflect the most advanced tools. The result, more than ever, is an essential introduction to a core area of statistical analysis.

Readers of the third edition of Time Series Analysis and Forecasting will also find:

  • Updates incorporating JMP, SAS, and R software, with new examples throughout
  • Over 300 exercises and 50 programming algorithms that balance theory and practice
  • Supplementary materials in the e-book including solutions to many problems, data sets, and brand-new explanatory videos covering the key concepts and examples from each chapter.

Time Series Analysis and Forecasting is ideal for graduate and advanced undergraduate courses in the areas of data science and analytics and forecasting and time series analysis. It is also an outstanding reference for practicing data scientists.

規格說明

頁數:736
版次:第3版
年份:2024年
規格:精裝/單色
ISBN:9781394186693

產品內容與運送說明

1 Introduction to Time Series Analysis and Forecasting
2 Statistics Background for Time Series Analysis and Forecasting
3 Regression Analysis and Forecasting
4 Exponential Smoothing Methods
5 Autoregressive Integrated Moving Average (ARIMA) Models
6 Transfer Functions and Intervention Models
7 Other Time Series Analysis and Forecasting Methods
Appendix A Statistical Tables
Appendix B Data Sets for Exercises
Appendix C Introduction to R

 

已加入購物車
已更新購物車
網路異常,請重新整理