Probability and random number : a first guide to randomness / Hiroshi Sugita, Osaka University, Japan.
Material type: TextLanguage: English Original language: Japanese Publisher: New Jersey : World Scientific, [2018]Description: xi, 125 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9789813228252 (hardcover : alk. paper)Uniform titles: Kakuritsu to ransū. English Subject(s): Probabilities | Random variables | Numbers, Random | Monte Carlo methodDDC classification: 519.2 LOC classification: QA273 | .Su3 2018Item type | Current library | Call number | URL | Copy number | Status | Date due | Barcode |
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AAMUSTED Books | AAMUSTED LIBRARY, KUMASI Reference | QA273 .Su3 2018 (Browse shelf(Opens below)) | Link to resource | Available (Restricted Access) | 0000000363 | ||
AAMUSTED Books | AAMUSTED LIBRARY, KUMASI Reserve Book Shelf | QA273 .Su3 2018 (Browse shelf(Opens below)) | 2 | Available (Restricted Access) | 0000001378 |
Browsing AAMUSTED LIBRARY, KUMASI shelves, Shelving location: Reference Close shelf browser (Hides shelf browser)
QA 273.H67 Introduction To Probability Theory | QA 273.H67 Introduction To Probability Theory | QA273 .J41 1985 Statistics and probability: a course to advanced level/ | QA273 .Su3 2018 Probability and random number : a first guide to randomness / | QA273 .S3 1997 Applied probability for engineers and scientists / | QA275 .B23 1985 Experimental measurements : precision, error, and truth / | QA276 .F53 1990 Statistical methods, experimental design, and scientific inference / |
Includes bibliographical references and index.
Mathematics of coin tossing -- Random number -- Limit theorem -- Monte Carlo method.
This is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer age. Random number topics have not been treated by any books on probability theory, only some books on computation theory. However, the notion of random number is necessary for understanding the essential relation between probability and randomness. The field of probability has changed very much, thus this book will make and leave a big impact even to expert probabilists. Readers from applied sciences will benefit from this book because it presents a very proper foundation of the Monte Carlo method with practical solutions, keeping the technical level no higher than 1st year university calculus. -- Provided by publisher.
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