Probability and random variables : a beginner's guide / David Stirzaker.
Stirzaker, David| Call Number | 519.2 |
| Author | Stirzaker, David, author. |
| Title | Probability and random variables : a beginner's guide / David Stirzaker. Probability & Random Variables |
| Physical Description | 1 online resource (xii, 368 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Summary | This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject. |
| Subject | PROBABILITIES. RANDOM VARIABLES. |
| Multimedia |
Total Ratings:
0
02199nam a22003738i 4500
001
vtls001585075
003
VRT
005
20200921122400.0
006
m|||||o||d||||||||
007
cr||||||||||||
008
200921s1999||||enk o ||1 0|eng|d
020
$a 9780511813627 (ebook)
020
$z 9780521642972 (hardback)
020
$z 9780521644457 (paperback)
035
$a (UkCbUP)CR9780511813627
039
9
$y 202009211224 $z santha
040
$a UkCbUP $b eng $e rda $c UkCbUP
050
0
0
$a QA273 $b .S75343 1999
082
0
0
$a 519.2 $2 21
100
1
$a Stirzaker, David, $e author.
245
1
0
$a Probability and random variables : $b a beginner's guide / $c David Stirzaker.
246
3
$a Probability & Random Variables
264
1
$a Cambridge : $b Cambridge University Press, $c 1999.
300
$a 1 online resource (xii, 368 pages) : $b digital, PDF file(s).
336
$a text $b txt $2 rdacontent
337
$a computer $b c $2 rdamedia
338
$a online resource $b cr $2 rdacarrier
500
$a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520
$a This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject.
650
0
$a PROBABILITIES.
650
0
$a RANDOM VARIABLES.
776
0
8
$i Print version: $z 9780521642972
856
4
0
$u https://doi.org/10.1017/CBO9780511813627
999
$a VIRTUA
No Reviews to Display
| Summary | This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Subject | PROBABILITIES. RANDOM VARIABLES. |
| Multimedia |