probability applications engineering science di carlton matthew (27 risultati)

Condizione: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

paperback. Condizione: Good. Used books may not include access codes or one time use codes. Proven Seller with Excellent Customer Service. Choose expedited shipping and get it FAST.

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paperback. Condizione: Good. 2nd ed. 2017. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condizione: New.

Condizione: New.

Condizione: New. In.

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Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New. New. book.

Condizione: New. Offering an up-to-date and lively post-calculus introduction to probability, this text covers numerous aspects of the topic with broad technical applications, adopting a software-oriented approach and including many real-world problems scenarios. Series: Springer Texts in Statistics. Num Pages: 643 pages, 31 black & white illustrations, 178 colour illustrations, 178 colour tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178. . . 2017. 2nd ed. 2017. Paperback. . . . .

Condizione: New.

Hardcover. Condizione: Like New. Like New. book.

Paperback. Condizione: new. Paperback. This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines.The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the books page on the Springer website.A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise).For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbooks pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four core chapters alonea self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand in R and MATLAB, including code so that students can create simulations. New to this editionUpdated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints Extended and revised instructions and solutions to problem sets Overhaul of Section 7.7 on continuous-time Markov chains Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students As such, three course syllabi with expanded course outlines are now available for download on the books page on the Springer website.A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: Brand New. 2nd edition. 610 pages. 9.75x6.75x1.25 inches. In Stock.

Condizione: New. Offering an up-to-date and lively post-calculus introduction to probability, this text covers numerous aspects of the topic with broad technical applications, adopting a software-oriented approach and including many real-world problems scenarios. Series: Springer Texts in Statistics. Num Pages: 643 pages, 31 black & white illustrations, 178 colour illustrations, 178 colour tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178. . . 2017. 2nd ed. 2017. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Condizione: new. Paperback. This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines.The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the books page on the Springer website.A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise).For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbooks pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four core chapters alonea self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand in R and MATLAB, including code so that students can create simulations. New to this editionUpdated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints Extended and revised instructions and solutions to problem sets Overhaul of Section 7.7 on continuous-time Markov chains Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students As such, three course syllabi with expanded course outlines are now available for download on the books page on the Springer website.A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.