| Record ID | marc_columbia/Columbia-extract-20221130-012.mrc:162817442:3730 |
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001 5769493
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020 $a0471703540 (acid-free paper)
024 3 $a9780471703549
035 $a(OCoLC)ocm62342828
035 $a(NNC)5769493
035 $a5769493
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042 $apcc
050 00 $aQA273$b.K74 2006
082 00 $a519.2$222
100 1 $aKrishnan, Venkatarama,$d1929-$0http://id.loc.gov/authorities/names/n83129793
245 10 $aProbability and random processes /$cVenkatarama Krishnan.
260 $aHoboken, N.J. :$bWiley-Interscience,$c[2006], ©2006.
300 $axiii, 723 pages :$billustrations ;$c26 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley survival guides in engineering and science
504 $aIncludes bibliographical references (p. 714-715) and index.
505 00 $gCh. 1.$tSets, fields, and events -- $gCh. 2.$tProbability space and axioms -- $gCh. 3.$tBasic combinatorics -- $gCh. 4.$tDiscrete distributions -- $gCh. 5.$tRandom variables -- $gCh. 6.$tContinuous random variables and basic distributions -- $gCh. 7.$tOther continuous distributions -- $gCh. 8.$tConditional densities and distributions -- $gCh. 9.$tJoint densities and distributions -- $gCh. 10.$tMoments and conditional moments -- $gCh. 11.$tCharacteristic functions and generating functions -- $gCh. 12.$tFunctions of a single random variable -- $gCh. 13.$tFunctions of multiple random variables -- $gCh. 14.$tInequalities, convergences, and limit theorems -- $gCh. 15.$tComputer methods for generating random variates -- $gCh. 16.$tElements of matrix algebra -- $gCh. 17.$tRandom vectors and mean-square estimation -- $gCh. 18.$tEstimation theory -- $gCh. 19.$tRandom processes -- $gCh. 20.$tClassification of random processes -- $gCh. 21.$tRandom processes and linear systems -- $gCh. 22.$tWeiner and Kalman filters -- $gCh. 23.$tProbabilistic methods in transmission tomography -- $gApp. A.$tA Fourier transform tables -- $gApp. B.$tCumulative Gaussian tables -- $gApp. C.$tInverse cumulative Gaussian tables -- $gApp. D.$tInverse chi-square tables -- $gApp. E.$tInverse student-t tables -- $gApp. F.$tCumulative Poisson distribution -- $gApp. G.$tCumulative binomial distribution.
520 1 $a"More than 400 figures drawn to scale assist readers in understanding and applying theory. Many of these figures accompany the more than 300 examples given to help readers visualize how to solve the problem at hand. In many instances, worked examples are solved with more than one approach to illustrate how different probability methodologies can work for the same problem." "This book is of particular value to undergraduate and graduate students in electrical, computer, and civil engineering, as well as students in physics and applied mathematics. Engineers, computer scientists, biostatisticians, and researchers in communications will also benefit from having a single resource to address most issues in probability and random processes."--BOOK JACKET.
650 0 $aProbabilities.$0http://id.loc.gov/authorities/subjects/sh85107090
650 0 $aStochastic processes.$0http://id.loc.gov/authorities/subjects/sh85128181
650 0 $aEngineering$xStatistical methods.$0http://id.loc.gov/authorities/subjects/sh85043194
650 0 $aScience$xStatistical methods.$0http://id.loc.gov/authorities/subjects/sh2010112232
830 0 $aWiley survival guides in engineering and science.$0http://id.loc.gov/authorities/names/no2004108056
852 00 $bmat$hQA273$i.K74 2006