• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Time Series Forecasting and Advanced Predictive Models

Time Series Forecasting and Advanced Predictive Models

Paperback

Probability & Statistics

ISBN10: 6630008944
ISBN13: 9786630008944
Publisher: Scholars' Press
Published: May 27 2026
Pages: 176
Weight: 0.54
Height: 0.41 Width: 6.00 Depth: 9.00
Language: English
This book is an effort to integrate statistical theory with practical implementation. While emphasizing the fundamental concepts of time series analysis, it also provides step-by-step illustrations using Python programming. The aim is to make the subject both conceptually clear and practically relevant for students, researchers, and practitioners. Designed primarily for undergraduate and postgraduate students of statistics, mathematics, economics, and computer science, this book also serves as a reference for faculty members, professionals, and data analysts who seek to apply forecasting techniques in their respective fields. Topics such as stationarity, ARIMA models, exponential smoothing, decomposition, and advanced machine learning approaches are discussed systematically, supported by examples and applications.

Also in

Probability & Statistics