Smalltalk80LanguageImplementation:Chapter 21 - Revision history

Onionmixer: 오타수정

2015-07-13T09:30:43Z

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← Older revision		Revision as of 09:30, 13 July 2015
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	is a number between 0 and 5, answering the question, how many heads did I get in 5 trials?		is a number between 0 and 5, answering the question, how many heads did I get in 5 trials? The message
	The message

	<syntaxhighlight lang="smalltalk">		<syntaxhighlight lang="smalltalk">
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	The Poisson law describes the probability that exactly x events occur in a unit time interval, when the mean rate of occurrence per unit time is the variable mu. For a time interval of dt, the probability is mu*dt; mu must be greater than 0.0.		The Poisson law describes the probability that exactly x events occur in a unit time interval, when the mean rate of occurrence per unit time is the variable mu. For a time interval of dt, the probability is mu*dt; mu must be greater than 0.0.


	The probability function is		The probability function is

Onionmixer: 정오표 수정

2014-05-09T09:38:35Z

정오표 수정

← Older revision		Revision as of 09:38, 9 May 2014
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	===Introductory===		===Introductory Examples===

	Two examples of sample spaces are given here before entering into a detailed description of the Smalltalk-80 classes. Suppose the sample space is the possible outcomes of a toss of a die. The sample space consists of		Two examples of sample spaces are given here before entering into a detailed description of the Smalltalk-80 classes. Suppose the sample space is the possible outcomes of a toss of a die. The sample space consists of
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	self subclassResponsibility		self subclassResponsibility
	distribution: aCollection		distribution: aCollection
	"This is the cumulative distribution function. The argument is a range of contiguous values of the random variable. The distribution is ~~methematically~~ the area under the probability curve within the specified interval."		"This is the cumulative distribution function. The argument is a range of contiguous values of the random variable. The distribution is mathematically the area under the probability curve within the specified interval."
	self ~~subvlassResponsibility~~		self subclassResponsibility
	private		private
	inverseDistribution: x		inverseDistribution: x
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	private		private
	inverseDistribution: x		inverseDistribution: x
	"x is a random number ~~bettween~~ 0 and 1"		"x is a random number between 0 and 1"
	↑startNumber + (x * (stopNumber - startNumber))		↑startNumber + (x * (stopNumber - startNumber))
	setStart: begin toEnd: end		setStart: begin toEnd: end

Onionmixer: 내용수정

2014-04-28T14:55:44Z

내용수정

← Older revision		Revision as of 14:55, 28 April 2014
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	<syntaxhighlight lang="smalltalk">		<syntaxhighlight lang="smalltalk">
			Geometric mean: 5
	</syntaxhighlight>		</syntaxhighlight>
	~~Geometric mean: 5~~


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	A geometric distribution is more suitable for an event-driven simulation design than a Bernoulli or binomial. Instead of asking how many cars arrive in the next 20 seconds (a binomial question), the geometric distribution asks, how many seconds before the next car arrives, in event-driven simulations, the (simulated) clock jumps to the time of the next event. Using a geometric distribution, we can determine when the next event will occur, set the clock accordingly, and then carry out the event, potentially "saving" a great deal of real time.		A geometric distribution is more suitable for an event-driven simulation design than a Bernoulli or binomial. Instead of asking how many cars arrive in the next 20 seconds (a binomial question), the geometric distribution asks, how many seconds before the next car arrives, in event-driven simulations, the (simulated) clock jumps to the time of the next event. Using a geometric distribution, we can determine when the next event will occur, set the clock accordingly, and then carry out the event, potentially "saving" a great deal of real time.


	The probability distribution function is		The probability distribution function is

Onionmixer: SMALLTALK80 Chapter 21 Probability Distributions 페이지 추가

2014-04-28T14:54:26Z

SMALLTALK80 Chapter 21 Probability Distributions 페이지 추가

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