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Table of Contents

        1. Introduction to General Linear Models o...
        2. What are General Linear Models?
        1. What are Generalized Linear Models?
        2. What are Exponential Distributions?
        3. Examples and Applications of Generalize...
        4. General Vs Generalized Linear Models

Contents

General Linear Modelling

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    • SPSS

    Year of Creation: 2017

    Posted Online on: 31 July 2017

    Duration: 20 Minutes

    Course Description

    This course offers a fundamental introduction to General Linear Modeling (GLM) and Generalised Linear Modeling (GLIM). The course provides a basic familiarity with these techniques in introductory and definition mode so as to clarify the use and application of these techniques for the learners.

    Learning Outcomes

    On completion of this course you will be able to:

    • Undersatnd the meaning and purpose General Linear Modeling (GLM) and Generalised Linear Modeling (GLIM) techniques
    • Select suitable GLM or GLIM techniques
    • Compare GLM and GLIM models
    • Understand exponential distributions

    Requirements

    • Familiarity with basic research process will be helpful but not essential.
    • A keen desire to master Statistics and SPSS
    • A laptop with internet connection
    • Familiarity with basic computer and operating system

    Recommended Foundation Course(s)

    Students are expected to be familiar with the following Foundation course(s) before going through this course:

    • IBM SPSS Statistics Foundation Course

    Questions and Answers

    Premium Members can post their course related questions and problems in Discussion Forum to get a response.

    Certification

    You will receive a course completion certificate after completion of the course.

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    Instructor

    Ritesh Chouhan
    Ritesh Chouhan

    Scholarsight is a Knowledge Organization. Our mission is to humanize scientific methods through technology-enabled learning. We are building Galaxy's biggest library of courses for scientists, inventors, and professionals.

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