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Visualizing Statistical Models And Concepts

Autor R.W. Farebrother, Michael Schyns
en Limba Engleză Paperback – 17 feb 2020
Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.
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Specificații

ISBN-13: 9780367447052
ISBN-10: 0367447053
Pagini: 272
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.5 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Public țintă

Undergraduate

Cuprins

1. Introduction 2. Abstract Geometrical and Mechanical Representations 3. Mechanical Models for Multidimensional Medians 4. Method of Least Squared Deviations 5. Method of Least Absolute Deviation 6. Minimax Absolute Deviation Method 7. Method of Least Median of Squared Deviations 8. Mechanical Models for Metric Graphs 9. Categorical Data Analysis 10. Method of Averages and Curve Fitting by Splines 11. Multivariate Generalisations of the Method of Least Squares

Notă biografică

Farebrother\, R.W.; Schyns\, Michael

Descriere

In this book, the author finds that many of the important concepts of mathematical statistics can be associated with physical models; and that the optimality criteria of statistical estimation procedures can often be interpreted in terms of the concept of potential energy.