Applied Probability and Statistics [electronic resource] / by Mario Lefebvre.

By: Lefebvre, Mario [author.]
Contributor(s): SpringerLink (Online service)
Material type: TextTextPublisher: New York, NY : Springer New York, 2006Description: XVIII, 358 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387285054Subject(s): Mathematics | Mathematical statistics | Probabilities | Statistics | Mathematics | Probability Theory and Stochastic Processes | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Probability and Statistics in Computer ScienceAdditional physical formats: Printed edition:: No titleDDC classification: 519.2 LOC classification: QA273.A1-274.9QA274-274.9Online resources: Click here to access online
Contents:
Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises.
In: Springer eBooksSummary: This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors.
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Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises.

This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors.

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