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Synopsis
This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts.
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À propos de l?auteur
Emmanuel N. Barron, Ph.D., is an Emeritus Professor of Mathematics and Statistics at Loyola University Chicago. After receiving his B.S. in mathematics from the University of Illinois at Chicago, he earned his M.S. and Ph.D. in mathematics from Northwestern University. While at Northwestern University, he specialized in partial differential equations and differential games. He also held positions as an Assistant Professor at Georgia Tech and a Member of Technical Staff at Bell Laboratories. Dr. Barron has published over 80 research papers and two books.
John G. DelGreco, Ph.D., is an Associate Professor of Mathematics and Statistics at Loyola University Chicago. He holds a B.S. in mathematics from John Carroll University, an M.A. in mathematics from the University of Massachusetts, and a Ph.D. in industrial engineering from Purdue University. Before joining Loyola's faculty in 1987, Dr. DelGreco worked as a systems analyst for Micro Data Base Systems, Inc., located in Lafayette, Indiana. His research interests include applied graph theory, operations research, network flows, and parallel algorithms.
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Probability and Statistics for STEM: A Course in One Semester
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Probability and Statistics for STEM: A Course in One Semester
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Probability and Statistics for STEM: A Course in One Semester
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Probability and Statistics for STEM (Hardcover)
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ISBN 10 : 3031389840
ISBN 13 : 9783031389849
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Hardcover. Etat : new. Hardcover. This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts. This new edition presents the essential topics in probability and statistics from a rigorous standpoint. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031389849
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Probability and Statistics for STEM: A Course in One Semester
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Probability and Statistics for STEM: A Course in One Semester (Synthesis Lectures on Mathematics & Statistics)
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address. N° de réf. du vendeur SHAK235454
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Probability and Statistics for STEM
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Springer, Berlin, Springer International Publishing, Morgan And Claypool Publishers, Springer Nov 2023, 2023
ISBN 10 : 3031389840
ISBN 13 : 9783031389849
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts. 289 pp. Englisch. N° de réf. du vendeur 9783031389849
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Probability and Statistics for Stem: A Course in One Semester
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Hardcover. Etat : Brand New. 2nd edition. 306 pages. 9.45x6.61x9.65 inches. In Stock. N° de réf. du vendeur __3031389840
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Probability and Statistics for STEM
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Springer International Publishing, 2024
ISBN 10 : 3031389840
ISBN 13 : 9783031389849
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the basics of probability and topics such as confidence intervals, hypothesis testing, and linear regressionProvides exercises and solutions so that readers can practice the applications of the conceptsPresents topics in a one sem. N° de réf. du vendeur 895960851
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Probability and Statistics for STEM
ISBN 10 : 3031389840
ISBN 13 : 9783031389849
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. N° de réf. du vendeur 9783031389849
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