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Topic: Uniform distribution

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	1.3.6.6.2. Uniform Distribution
		The uniform survival function can be computed from the uniform cumulative distribution function.
		The uniform inverse survival function can be computed from the uniform percent point function.
		One of the most important applications of the uniform distribution is in the generation of random numbers.
	www.itl.nist.gov /div898/handbook/eda/section3/eda3662.htm (364 words)

	Uniform distribution
		The uniform distributions are simple probability distributions which, in the discrete case, can be characterized by saying that all possible values are equally probable.
		A simple example of the discrete uniform distribution is throwing a fair die (or, "a dice"): Each time the die is thrown, the probability of a given score is 1/6.
		Although the uniform distribution is less commonly-found in nature than the normal distribution (for example), it is particularly useful for sampling from arbitrary distributions, using the inverse transform sampling method or the rejection sampling method[?].
	www.ebroadcast.com.au /lookup/encyclopedia/un/Uniform_distribution.html (381 words)

	Uniform distribution
		The uniform distributions are simple probability distributions which, in the discrete case, can be characterized by saying that all possible values are equally probable.
		The standard uniform distribution is the continuous uniform distribution with the values of a and b set to 0 and 1 respectively, so that the random variable can take values only between 0 and 1.
		Although the uniform distribution is not commonly found in nature, it is particularly useful for sampling from arbitrary distributions.
	www.guajara.com /wiki/en/wikipedia/u/un/uniform_distribution.html (520 words)

	ICMJE - Uniform Requirements for Manuscripts Submitted to Biomedical Journals
		The total content of the Uniform Requirements for Manuscripts Submitted to Biomedical Journals may be reproduced for educational, not-for-profit purposes without regard for copyright; the committee encourages distribution of the material.
		Journals that agree to use the Uniform Requirements are encouraged to state in their instructions to authors that their requirements are in accordance with the Uniform Requirements and to cite this version.
		The Uniform Requirements state the ethical principles in the conduct and reporting of research and provide recommendations relating to specific elements of editing and writing.
	www.icmje.org (12160 words)

	ScienceDaily: Uniform distribution (continuous)
		In mathematics, the continuous uniform distributions are probability distributions such that all intervals of the same length are equally probable.
		Uniform distribution (continuous) -- In mathematics, the continuous uniform distributions are probability distributions such that all intervals of the same length are equally probable.
		Probability distribution -- In mathematics and statistics, a probability distribution, more properly called a probability density, assigns to every interval of the real numbers a probability, so that the probability axioms are...
	www.sciencedaily.com /encyclopedia/Uniform_distribution_(continuous) (1362 words)

	Probability: Uniform Distribution
		The uniform distribution is the most simple continuous distribution in probability.
		The distribution is specified by two parameters: the end points a and b.
		kurtosis A parameter describing the peakedness and tails of a distribution.
	www.riskglossary.com /articles/uniform_distribution.htm (218 words)

	Uniform distribution
		The discrete uniform distribution is a special case of the multinomial distribution.
		The notion of uniform distribution extends straightforwardly to the multidimensional case.
		The multidimensional uniform distribution in any hyper-parallelepiped whose edges are parallel to the axes is a straightforward generalisation of this distribution.
	www.aiaccess.net /English/Glossaries/GlosMod/e_gm_uniform_distri.htm (967 words)

	Springer Online Reference Works
		As with the normal distribution, the uniform distribution appears in probability theory as an exact distribution in some problems and as a limit in others.
		An example of a uniform distribution in a rectangle appears already in the Buffon problem (see also Geometric probabilities; Stochastic geometry).
		The role of the uniform distribution in algebraic groups is played by the normalized Haar measure.
	eom.springer.de /u/u095240.htm (367 words)

	PlanetMath: uniform (continuous) random variable
		They are also called rectangular distributions, considers that all points in the interval
		"uniform (continuous) random variable" is owned by mathcam.
		This is version 5 of uniform (continuous) random variable, born on 2001-10-26, modified 2006-10-25.
	planetmath.org /encyclopedia/RectangularDistribution.html (80 words)

	Uniform distribution (continuous) - Definition, explanation
		The continuous uniform distribution is a generalization of the rectangle function because of the shape of its probability density function.
		For n ≥ 2, the nth cumulant of the uniform distribution on the interval [0, 1] is b
		In statistics, when a p-value is used as a test statistic for a simple null hypothesis, and the distribution of the test statistic is continuous, then the test statistic is uniformly distributed between 0 and 1 if the null hypothesis is true.
	www.calsky.com /lexikon/en/txt/u/un/uniform_distribution__continuous_.php (722 words)

	Lecture Notes 6
		Among the continuous probability distribution, the uniform distribution is the simplest one of all.
		In a uniform distribution, the area under the curve is equal to the product of the length and the height of the rectangle and equals to one.
		The Z distribution is a normal distribution with a mean of 0 and a standard deviation of 1.
	business.clayton.edu /arjomand/business/l6.html (2002 words)

	Distributions
		Binomial Distribution: The binomial distribution, also known as Bernoulli distribution, describes the random sampling processes that all outcomes are either yes or no (success/failure) without ambiguity.
		Normal Distribution: The normal distribution, or Gaussian distribution, is a symmetrical distribution commonly referred to as the bell curve.
		Uniform Distribution: The uniform distribution has a constant success rate on a certain intervals and a zero success rate on the others.
	www.efunda.com /math/distributions/distributions.cfm (253 words)

	Boost Random Number Library Distributions
		In addition to the random number generators, this library provides distribution functions which map one distribution (often a uniform distribution provided by some generator) to another.
		The distribution functions no longer satisfy the input iterator requirements (std:24.1.1 [lib.input.iterators]), because this is redundant given the Generator interface and imposes a run-time overhead on all users.
		Such a distribution produces random numbers x > 0 distributed with probability density function p(x) = lambda * exp(-lambda * x), where lambda is the parameter of the distribution.
	www.boost.org /libs/random/random-distributions.html (1419 words)

	Authentic Kiltie Uniform
		This is the same uniform worn by current and traditional Scottish regiments.
		Uniforms are purchased from Scotland and are a major expense to the Kiltie organization.
		Uniform parts, flag equipment, swords, drums and/or any additional equipment issued must be paid in full if lost or misplaced.
	www.rhskiltieband.com /uniform.htm (1207 words)

	Functions and CALL Routines : PDF
		The PDF function for the chi-squared distribution returns the probability density function of a chi-squared distribution, with df degrees of freedom and noncentrality parameter nc, which is evaluated at the value x.
		The PDF function for the F distribution returns the probability density function of an F distribution, with ndf numerator degrees of freedom, ddf denominator degrees of freedom, and noncentrality parameter nc, which is evaluated at the value x.
		The PDF function for the uniform distribution returns the probability density function of a uniform distribution, with left location parameter l and right location parameter r, which is evaluated at the value x.
	www.asu.edu /it/fyi/unix/helpdocs/statistics/sas/sasdoc/sashtml/lgref/z0270634.htm (1051 words)

	Uniform Distribution (Site not responding. Last check: )
		A uniform distribution is a distribution of a continuous variable in which the probability of X falling within a given interval is proportional to the size of the interval.
		For example, if X is uniformly distributed between 0 and 1, then the probability that X will be between 0.3 and 0.4 is.1, because there are ten intervals of width.1 each.
		However, random number generators often are built to simulate the uniform distribution.
	arnoldkling.com /apstats/uniform.html (167 words)

	DAKOTA: Variables Commands
		Distribution lower and upper bounds are explicit portions of the normal, lognormal, uniform, loguniform, triangular, and beta specifications, whereas they are implicitly defined for histogram and interval variables from the extreme values within the bin/point/interval specifications.
		The inclusion of lower and upper distribution bounds for all uncertain variable types (either explicitly defined, implicitly defined, or inferred; see Variables Description) allows the use of these variables with methods that rely on a bounded region to define a set of function evaluations (i.e., design of experiments and some parameter study methods).
		Within the uniform uncertain optional group specification, the number of uniform uncertain variables and the distribution lower and upper bounds are required specifications, and variable descriptors is an optional specification.
	www.cs.sandia.gov /DAKOTA/licensing/votd/html-ref/VarCommands.html (3529 words)

	Uniform Distribution
		If x is a discrete random variable with a uniform distribution, it attains an integer from a to b inclusive, such that all integers are equally likely.
		For instance, the throw of a single die is uniform, with integers ranging from 1 to 6.
		If x is a continuous variable with a uniform distribution, it attains all real numbers on the closed interval [a,b] with a uniform probability of 1/(b-a).
	www.mathreference.com /pr,unif.html (730 words)

	Statistics Glossary - random variables and probability distributions
		The quantile-quantile (Q-Q) plot is constructed using the theoretical cumulative distribution function, F(x), of the specified model.
		The Geometric distribution is related to the Binomial distribution in that both are based on independent trials in which the probability of success is constant and equal to p.
		Uniform distributions model (some) continuous random variables and (some) discrete random variables.
	www.stats.gla.ac.uk /steps/glossary/probability_distributions.html (2101 words)

	Continuous Uniform Distribution
		The uniform distribution describes a variable where the probability of occurrence of any value between in range defined by the minimum and maximum values is equal.
		An important application of the uniform distribution is a form of random number generator which uses a cumulative probability curve to transform a uniform variable to a non-random one.
		A continuous distribution with minimum=0 and maximum=1 is often referred to as a standard uniform distribution.
	www.brighton-webs.co.uk /distributions/uniformc.asp (218 words)

	Explore: Assumption testing for ANOVA (Site not responding. Last check: )
		If you played the notes of the normal distribution from left to right the song of the normal distribution would be a set of rising and falling tones.
		On the other hand the histogram of a uniform distribution looks is a set of approximately equal height bars.
		If you played the song of the uniform distribution it would be a monotonous set of tones at about the same pitch.
	web.uccs.edu /lbecker/SPSS80/explore2.htm (1776 words)

	[No title] (Site not responding. Last check: )
		The uniform probability distribution, when placed over the initial phase space of a given macrocondition, is the one that yields the right empirical predictions, predictions of the thermodynamic behavior we do, in fact, observe.
		Note that regarding the uniform distribution as an empirical claim about the distribution of microstates of thermodynamic systems in our world suggests that it is wrongheaded to ask for a deeper explanation of its holding.
		The use of the [microcanonical] distribution in characterizing equilibrium is perfectly ‘objective’, but it is somewhat misleading to call it a probability: it is a mathematically definable measure on phase space, and there simply are no competing theories about what it is, any more than there are frequentist or propensity accounts of Lebesgue measure.
	aardvark.ucsd.edu /grad_conference/north.doc (3813 words)

	Dr. Dobb's \| Testing Random Number Generators \| April 15, 2003 (Site not responding. Last check: )
		The KS test uses the maximum deviation between the theoretical uniform distribution and the empirical distribution as a criterion to decide whether the sample was generated by a uniform distribution.
		The empirical distribution of the 10 random numbers generated is a step function and is shown by the step curve in Figure 1.
		This indicates that the maximum deviation between the theoretical and empirical distributions is relatively small and is quite consistent with a uniform distribution.
	www.ddj.com /dept/cpp/184403185 (3707 words)

	Uniform Distribution
		A uniform distribution is one for which the probability of occurrence is the same for all values of X. It is sometimes called a rectangular distribution.
		Since all outcomes are equally probable, the distribution is uniform.
		If a uniform distribution is divided into equally spaced intervals, there will be an equal number of members of the population in each interval.
	davidmlane.com /hyperstat/A12237.html (81 words)

	Kitchen Lackey - Uniform distribution of batter for cookies and such
		KitchenLackey Home » tips » Uniform distribution of batter for cookies and such
		Uniform distribution of batter for cookies and such
		They ensure a uniform size, and are cleaner and easier than spoons.
	www.kitchenlackey.com /story/11 (170 words)

	Uniform Distribution of Mass Stiffness Strength and Ductility
		Uniform Distribution of Mass Stiffness Strength and Ductility
		These weaknesses are usually created by sharp changes in stiffness, strength and/or ductility, and the effects of these weaknesses are accentuated by poor distribution of reactive masses.
		Inspection of earthquake damage as well as the results of analytical studies have shown that structural systems with a soft story can lead to serious problems during severe earthquake ground shaking.
	nisee.berkeley.edu /bertero/html/uniform_distribution_of_mass_stiffness_strength_and_ductility.html (1415 words)

	Non-uniform random number generators
		The functions are based on the uniform random number generators in randomc.zip or randoma.zip.
		The Fisher's noncentral hypergeometric distribution is a conditional binomial distribution resembling the Wallenius noncentral hypergeometric distribution.
		The multivariate Fisher's noncentral hypergeometric distribution is a conditional binomial distribution resembling the multivariate Wallenius noncentral hypergeometric distribution.
	www.agner.org /random/stocc.htm (1813 words)

	Random Uniform Distribution
		The simplest distribution is the Random Uniform Distribution, in which any number between the minimum and maximum values is equally likely to occur.
		The Random Uniform Distribution is suitable for most sensitivity testing and is selected by default.
		Another commonly-used distribution is the Normal Distribution (or Bell Curve) in which values near the mean or more likely to occur than values far from the mean.
	www.vensim.com /documentation/html/21090.htm (203 words)

	Sciforma Corporation: PS Support Distribution Types and Resource Tracking
		The function of the distribution type is to distribute this assignment across the duration of the task.
		This distribution type is generally used when there is a fixed level of effort which needs to be accomplished over a given period of time.
		Now that you understand the implications of the distribution types and the initial assignment tracking options, let's explore how the different distribution types are taken into consideration when tracking the resources.
	www.sciforma.com /support/Resource_tracking_and_Distribution_Types.htm (2720 words)

	Uniform Distribution (Site not responding. Last check: )
		A uniform distribution is a distribution of a continuous variable in which the probability of X falling within a given interval is proportional to the size of the interval.
		For example, if X is uniformly distributed between 0 and 1, then the probability that X will be between 0.3 and 0.4 is.1, because there are ten intervals of width.1 each.
		However, random number generators often are built to simulate the uniform distribution.
	www.arnoldkling.com /apstats/uniform.html (167 words)

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