Probability and Statistics for STEM : A Course in One Semester
Barron, E.N.
Probability and Statistics for STEM : A Course in One Semester by E.N. Barron, J.G. Del Greco - 1st edition 2020 - 1 recurso en línea (XVII, 231 páginas) - Synthesis Lectures on Mathematics & Statistics 1938-1751 .
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.
9783031024276
10.1007/978-3-031-02427-6 doi
Estadística matemática
Ingeniería--Métodos estadísticos
Probabilidades
QA273 / 2020 EB
Probability and Statistics for STEM : A Course in One Semester by E.N. Barron, J.G. Del Greco - 1st edition 2020 - 1 recurso en línea (XVII, 231 páginas) - Synthesis Lectures on Mathematics & Statistics 1938-1751 .
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.
9783031024276
10.1007/978-3-031-02427-6 doi
Estadística matemática
Ingeniería--Métodos estadísticos
Probabilidades
QA273 / 2020 EB