An Introduction to applied probability

Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently over...

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Bibliographic Details
Main Author: Roberts, Richard A. 1935- (Author)
Format: Unknown
Language:English
Published: Reading, Mass. Addison-Wesley 1992
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041 0 # |a eng 
090 # # |a QA273  |b .R545 1992 
100 # # |a Roberts, Richard A.  |d 1935-  |e author 
245 # # |a An Introduction to applied probability  |c Richard A. Roberts 
264 # 1 |a Reading, Mass.  |b Addison-Wesley  |c 1992 
264 # 4 |c ©1992 
300 # # |a vii, 296 pages  |b illustrations  |c 24 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
500 # # |a Includes index. 
520 # # |a Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently overlooked or confused by the beginner. The book covers more than enough material for a one semester course, enhancing the value of the book as a reference for the student. Notable features of the book are: the systematic handling of combinations of events (Section 3-5); extensive use of the mass concept as an aid to visualization; an unusually careful treatment of conditional probability, independence, and conditional independence (Section 6-4); the resulting clarification facilitates the formulation of many applied problems; the emphasis on events determined by random variables, which gives unity and clarity to many topics important for interpretation; and the utilization of the indicator function, both as a tool for dealing with events and as a notational device in the handling of random variables. Students of mathematics, engineering, biological and physical sciences will find the text highly useful. 
650 # 0 |a Probabilities 
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