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Probability and Statistics for STEM : A Course in One Semester / by E.N. Barron, J.G. Del Greco

By: Barron, E.N., autor
Contributor(s): Del Greco, J.G., autor
Material type: materialTypeLabelE-bookSeries: (Synthesis Lectures on Mathematics & Statistics, 1938-1751).Publisher: Cham : Springer International Publishing, 2020Edition: 1st edition 2020.Description: 1 recurso en línea (XVII, 231 páginas).ISBN: 9783031024276.Subject: Estadística matemática | Ingeniería -- Métodos estadísticos | ProbabilidadesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Preface -- Acknowledgments -- Probability -- Random Variables -- Distributions of Sample Mean and Sample SD -- Confidence and Prediction Intervals -- Hypothesis Testing -- Linear Regression -- Authors' Biographies -- Index.
Summary: One of the most important subjects for all engineers and scientists is probability and statistics. This book presents the basics of the essential topics in probability and statistics from a rigorous standpoint. The basics of probability underlying all statistics is presented first and then we cover the essential topics in statistics, confidence intervals, hypothesis testing, and linear regression. This book is suitable for any engineer or scientist who is comfortable with calculus and is meant to be covered in a one-semester format.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA273 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01112732
Total holds: 0

Preface -- Acknowledgments -- Probability -- Random Variables -- Distributions of Sample Mean and Sample SD -- Confidence and Prediction Intervals -- Hypothesis Testing -- Linear Regression -- Authors' Biographies -- Index.

One of the most important subjects for all engineers and scientists is probability and statistics. This book presents the basics of the essential topics in probability and statistics from a rigorous standpoint. The basics of probability underlying all statistics is presented first and then we cover the essential topics in statistics, confidence intervals, hypothesis testing, and linear regression. This book is suitable for any engineer or scientist who is comfortable with calculus and is meant to be covered in a one-semester format.

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