Bookcover of Real World Data Modeling
Booktitle:

Real World Data Modeling

Applications in Statistics, Physics & Medicine

Scholars' Press (2021-05-13 )

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ISBN-13:

978-613-8-95346-3

ISBN-10:
6138953460
EAN:
9786138953463
Book language:
English
Blurb/Shorttext:
The primary purpose for examining data is to be able to make good decisions. This requires the ability to build, not just a model, but a knowledge domain from the data. Data analysis is primarily concerned with how to extrapolate (out of sample?) data to provide business information. This book is about data modeling with examples from complex real-world data, expansion of the universe, Multiple Sclerosis, COVID-19, and the new Collated Distributions, Wilcoxon Regression and Levy Distribution. How does one construct the knowledge domain for a problem at hand from the data? It requires building the context structure which consists of several individual cooperating models. Determining these models requires an understanding of how to partition the data which is not the same as stratification or machine learning. The partition data consists of individual processes which are evidenced as different probability distributions. Beware, much of statistical testing requires that specific axiomatic requirements be met which are usually not. This monograph teaches by way of complex data examples how to read this complex data and why the data is expecting us to ask much more questions than we do.
Publishing house:
Scholars' Press
Website:
http://www.scholars-press.com
By (author) :
Benjamin Solomon
Number of pages:
124
Published on:
2021-05-13
Stock:
Available
Category:
Theory of probability, stochastics, mathematical statistics
Price:
59.90 €
Keywords:
Multiple sclerosis, COVID-19, Regression, Redshift, Power Law, Levy Distribution, Collated Distributions

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