probability statistics random variables (46 résultats)

Hardcover. Etat : Fair. No Jacket. Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : UsedGood. Hardcover, 2nd edition; fading and shelf wear to exterior; bump to front side edge; otherwise in good condition with clean text, firm binding.

Hardcover. Etat : Fine. No Jacket. 1st Edition. First Edition. Frontisportrait (of William Feller), l, 605 pp. Original cloth. Very Good+, without dust jacket. 'Stein was certainly a most remarkable person. In 1956 he was 35 years old, a professor at Stanford University, which he had joined in 1953, and had already done some fundamental research in mathematical statistics, including the famous Hunt-Stein theorem relating group theory and statistical invariance. . . . he contributed a number of other important [results] to mathematical statistics. One of these was a 1972 paper in which he showed convergence in distribution to the normal and produced a Berry-Esseen type theorem for sums of dependent random variables. The technique he developed was quite novel and did not make use of Fourier methods, but relied instead on an elementary differential equation. His result, for example, gives a way of obtaining a Berry-Esseen result for U-statistics. Stein's result was applied in 1975 by Chen to the Poisson case and has since become known as the Chen-Stein method' ('Statistics in the Fifties', SASA's fiftieth anniversary conference presidential address). Other contributors include Debreu & Schmeidler, W. Hildenbrand, Kakutani, Gnedenko, et al. Also includes Mark Kac, 'William Feller, in Memoriam' (xxi-xxiii), L. K. Schmetterer, 'Alfréd Rényi, in Memoriam' (xxv-l).

Hardcover. Etat : Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Soft cover. Etat : Very Good. No Jacket. ex-library paperback in protective wallet, usual library stamps/markings. Published 2005 by Horwood Publishing, Chichester. A very good copy. Ready for immediate despatch from UK. 8D*.

Paperback. Etat : New.

Hardcover. Etat : Très bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 1986. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1986. Ammareal gives back up to 15% of this item's net price to charity organizations.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : new.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Etat : Neu. Probability and Statistics | Random Variables,Testing of Hypothesis,ANOVA | G. Krishna Kumari | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204199214 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Hardcover. Etat : new. Hardcover. Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebraWith its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supportedA supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Probability and Statistics | Random Variables,Correlation & Regression | B. Ed. M. Sc. (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204190945 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : New.

Etat : New.

Etat : New. 2019. 1st Edition. Hardcover. . . . . .

Etat : New.

Hardback. Etat : New. Probability, Random Variables, Statistics, and Random Processes: Fundamentals and Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 - 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 - 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 - 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 - 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebraWith its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supportedA supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text  Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals and Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.

Hardcover. Etat : new. Hardcover. Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebraWith its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supportedA supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. 2019. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Etat : Good. Good+; Hardcover, No Jacket; Withdrawn library copy with the standard library markings; Very light wear to the covers with "straight" edge-corners; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 4.0 lbs; Dark blue cloth covers with title in gold lettering along the spine; 1979, John Wiley Publishing; 470 pages; "The Algebra of Random Variables (Wiley Series in Probability and Mathematical Statistics)," by Melvin Dale Springer.

Etat : New. Ali Grami is a founding faculty member at the University of Ontario Institute of Technology (UOIT), Canada. He holds B.Sc., M.Eng., and Ph.D. degrees in Electrical Engineering from the University of Manitoba, McGill University and the University of Toronto,.

gebundene Ausgabe. Etat : Gut. 461 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 825.

Hardcover. Etat : Brand New. 395 pages. 9.25x6.25x1.00 inches. In Stock.

Hardcover. Etat : new. Hardcover. Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebraWith its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supportedA supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardback. Etat : New. Probability, Random Variables, Statistics, and Random Processes: Fundamentals and Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 - 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 - 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 - 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 - 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebraWith its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supportedA supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text  Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals and Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.