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Title: A Tutorial on Mathematical Modeling PDF
Url: https://www.causascientia.org/math_stat/Tutorial.pdf
Creator: McLaughlin, Michael P.
Publisher: Causasientia
Description: Created by Dr. Michael P. McLaughlin, this general, introductory tutorial on mathematical modeling (in pdf format) is intended to provide an introduction to the correct analysis of data. It addresses, in an elementary way, those ideas that are important to the effort of distinguishing information from error. This distinction constitutes the central theme of the material described herein. Both deterministic modeling (univariate regression) as well as the (stochastic) modeling of random variables are considered, with emphasis on the latter. No attempt is made to cover every topic of relevance. Instead, attention is focused on elucidating and illustrating core concepts as they apply to empirical data.
LC Classification: Science -- Mathematics -- Analysis
Science -- Mathematics -- Mathematical statistics
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Probabilities
Science -- Mathematics -- Probabilities -- Stochastic processes
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Probability
Mathematics -- Statistics
Mathematics -- Regression
Date Issued: 1999
Resource Type: Instructional Material
Format: Document -- PDF
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Michael P. McLaughlin
Access Rights: Free access
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