JMP Statistical Discovery
  • Welcome Edit Profile

    • About JMP
    • Our Leadership
    • International Offices
    • Careers with JMP
    • Contact Us
  • Corporate Site (www.jmp.com)

    Worldwide Sites

    • Argentina
    • Australia
    • Austria
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Denmark
    • Finland
    • France
    • Germany
    • Hong Kong
    • Iceland
    • India
    • Italy
    • Japan
    • Korea
    • Malaysia
    • Mexico
    • Netherlands
    • Norway
    • Peru
    • Philippines
    • Singapore
    • Spain
    • Sweden
    • Switzerland
    • Taiwan
    • United Kingdom
    • United States

    JMP International Offices

    To access contact information for all of our worldwide offices, please visit the JMP International Offices page.

  • Why JMP
    • JMP Overview
    • Analytic Workflow
    • JMP for the Enterprise
    • Build an Analytics Culture
    • Our Customers
    • JMP Academic Program
  • Products
    • Software Overview
    • JMP
    • JMP Pro
    • JMP Live
    • JMP Clinical
    • New in JMP 17
  • Capabilities
    • Capabilities Overview
    • Advanced Statistical Modeling
    • Automation and Scripting
    • Basic Data Analysis and Modeling
    • Consumer and Market Research
    • Content Organization
    • Data Access
    • Data Blending and Cleanup
    • Data Exploration and Visualization
    • Design of Experiments
    • Mass Customization
    • Predictive Modeling and Machine Learning
    • Quality and Process Engineering
    • Reliability Analysis
    • Sharing and Communicating Results
  • Industries
    • Industries Overview
    • Chemical
    • Consumer Products
    • Pharmaceutical
    • Semiconductor
  • For Users
    • For Users Overview
    • Learn to Use JMP
    • JMP Community
    • Discovery Summits
    • Get Support
  • Buy JMP
  • Try JMP

JMP Learning Library

    • All Topics
    • JMP Basics
    • Graphical Displays and Summaries
    • Probabilities and Distributions
    • Basic Inference - Proportions and Means
    • Correlation and Regression
    • Time Series
    • Multivariate Methods
    • Mixed Models and Repeated Measures
    • Data Mining and Predictive Modeling
    • Quality and Process
    • Reliability and Survival
    • Design and Analysis of Experiments
    • Using SAS from JMP
  • Download All Guides

Time Series

Learn how to model time series describing significant trends and seasonality patterns using. the resulting model to predict (forecast) future time periods. Use an automated model fitting algorithm that fits a variety of time series models selecting the one with the best forecast performance.

  • ARIMA ModelingBuild ARIMA based time series models to describe patterns and forecast future time periods.
  • Time Series Smoothing MethodsBuild smoothing based time series models to describe patterns and forecast future time periods.
  • Time Series ForecastingAutomate the process of building a variety of exponential smoothing models selecting the one with the best forecast performance.

Want them all?

Download all the One-Page PDF Guides combined into one bundle.

Download PDF bundle

About

  • Why JMP
  • Products
  • Capabilities
  • Industries
  • Academic Program

Resources

  • Live Events
  • Our Customers
  • Online Statistics Course
  • Statistics Knowledge Portal
  • Resource Center

For Users

  • User Community
  • Learn to Use JMP
  • Online Documentation
  • Discovery Summits
  • Support

Company

  • About Us
  • Blogs
  • Careers
  • Contact Us
  • © 2023 JMP Statistical Discovery LLC. All Rights Reserved.
  • Terms of Use
  • Privacy Statement
  • Contact Us
Back to Top