Transcription of Probability and Stochastic Processes - Bucknell …
{{id}} {{{paragraph}}}
ProbabilityandStochasticProcessesA FriendlyIntroductionforElectricalandComp uterEngineersChapter2 Viewgraphs1 RandomVariablesExperiment:Procedure+ ObservationsObservationis anoutcomeAssigna numbertoeachoutcome:Randomvariable2 RandomVariablesThreewaystogeta rv:Thervis theobservationThervis a functionoftheobservationThervis a functionofa rv3 DiscreteRandomVariables rangeof(setofpossiblevalues)is discreteis is countableDiscretervhasPMF 4 PMFP roperties Foranevent , 5 BernoulliRVGetthephonenumberofa ,let. otherwise6 BinomialRVTestcircuits,eachcircuitis thenumberofsuccessesintrials: thenumberoftestsuptoandincludingthefirst reject. Fromthetree,,, otherwise8 Geometric: (y) ,, otherwise11 Pascal:, (l) rate, interval , otherwise14 Poisson: (j)15 Poisson: (j)16 Cumulative DistributionFunctionsThecumulativedistri butionfunction(CDF)ofrandomvariableis 17 CDFE xample (r) (r)Atthediscontinuitiesand, is theuppervalues.(righthandlimit)18 CDFP ropertiesForany discreterv, range satisfying , and Forall, For andsmall, for 19 ExpectedValueTheexpectedvalueofis : Each.
Probability and Stochastic Processes A Friendly Introduction for Electrical and Computer Engineers Chapter 2 Viewgraphs 1
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
Probability & Stochastic Processes, Probability, Lectures: Probability, Statistics and Stochastic Processes, Probability and Stochastic Processes, Stochastic processes, Stochastic, Probability, Statistics, and Random Processes, Random processes for electrical engineering, Probability, Statistics, and Stochastic Processes, Probability Random Variables and Stochastic, Processes