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{{Probability distribution | | |||
name =Yule–Simon| | |||
type =mass| | |||
pdf_image =[[File:Yule-Simon distribution PMF.svg|325px|Plot of the Yule–Simon PMF]]<br /><small>Yule–Simon PMF on a log-log scale. (Note that the function is only defined at integer values of k. The connecting lines do not indicate continuity.)</small>| | |||
cdf_image =[[File:Yule-Simon distribution CMF.svg|325px|Plot of the Yule–Simon CMF]]<br /><small>Yule–Simon CMF. (Note that the function is only defined at integer values of k. The connecting lines do not indicate continuity.)</small>| | |||
parameters =<math>\rho>0\,</math> shape ([[real number|real]])| | |||
support =<math>k \in \{1,2,\dots\}\,</math>| | |||
pdf =<math>\rho\,\mathrm{B}(k, \rho+1)\,</math>| | |||
cdf =<math>1 - k\,\mathrm{B}(k, \rho+1)\,</math>| | |||
mean =<math>\frac{\rho}{\rho-1}\,</math> for <math>\rho>1\,</math>| | |||
median =| | |||
mode =<math>1\,</math>| | |||
variance =<math>\frac{\rho^2}{(\rho-1)^2\;(\rho-2)}\,</math> for <math>\rho>2\,</math>| | |||
skewness =<math>\frac{(\rho+1)^2\;\sqrt{\rho-2}}{(\rho-3)\;\rho}\,</math> for <math>\rho>3\,</math>| | |||
kurtosis =<math>\rho+3+\frac{11\rho^3-49\rho-22} {(\rho-4)\;(\rho-3)\;\rho}\,</math> for <math>\rho>4\,</math>| | |||
entropy =| | |||
mgf =<math>\frac{\rho}{\rho+1}\;{}_2F_1(1,1; \rho+2; e^t)\,e^t \,</math>| | |||
char =<math>\frac{\rho}{\rho+1}\;{}_2F_1(1,1; \rho+2; e^{i\,t})\,e^{i\,t} \,</math>| | |||
}} | |||
In [[probability]] and [[statistics]], the '''Yule–Simon distribution''' is a [[discrete probability distribution]] named after [[Udny Yule]] and [[Herbert A. Simon]]. Simon originally called it the '''''Yule distribution'''''.<ref name=SimonBiomet>{{cite journal | |||
| last = Simon | |||
| first = H. A. | |||
| title = On a class of skew distribution functions | |||
| journal = Biometrika | |||
| volume = 42 | |||
| pages = 425–440 | |||
| year = 1955 | |||
| doi = 10.1093/biomet/42.3-4.425 | |||
| issue = 3–4 | |||
}}</ref> | |||
The [[probability mass function]] of the Yule–Simon (''ρ'') distribution is | |||
:<math>f(k;\rho) = \rho\,\mathrm{B}(k, \rho+1), \,</math> | |||
for [[integer]] <math>k \geq 1</math> and [[real number|real]] <math>\rho > 0</math>, where <math>\mathrm{B}</math> is the [[beta function]]. Equivalently the pmf can be written in terms of the [[Pochhammer symbol|falling factorial]] as | |||
:<math> | |||
f(k;\rho) = \frac{\rho\,\Gamma(\rho+1)}{(k+\rho)^{\underline{\rho+1}}} | |||
, | |||
\,</math> | |||
where <math>\Gamma</math> is the [[gamma function]]. Thus, if <math>\rho</math> is an integer, | |||
:<math> | |||
f(k;\rho) = \frac{\rho\,\rho!\,(k-1)!}{(k+\rho)!} | |||
. | |||
\,</math> | |||
The parameter <math>\rho</math> can be estimated using a fixed point algorithm.<ref name=JMGGarcia>{{cite journal | |||
| last = Garcia Garcia | |||
| first = Juan Manuel | |||
| title = A fixed-point algorithm to estimate the Yule-Simon distribution parameter | |||
| journal = Applied Mathematics and Computation | |||
| volume = 217 | |||
| issue = 21 | |||
| pages = 8560–8566 | |||
| year = 2011 | |||
| doi = 10.1016/j.amc.2011.03.092 | |||
}}</ref> | |||
The probability mass function ''f'' has the property that for sufficiently large ''k'' we have | |||
:<math> | |||
f(k;\rho) | |||
\approx \frac{\rho\,\Gamma(\rho+1)}{k^{\rho+1}} | |||
\propto \frac{1}{k^{\rho+1}} | |||
. | |||
\,</math> | |||
This means that the tail of the Yule–Simon distribution is a realization of [[Zipf's law]]: <math>f(k;\rho)</math> can be used to model, for example, the relative frequency of the <math>k</math>th most frequent word in a large collection of text, which according to Zipf's law is [[inversely proportional]] to a (typically small) power of <math>k</math>. | |||
==Occurrence== | |||
The Yule–Simon distribution arose originally as the limiting distribution of a particular [[stochastic process]] studied by Yule as a model for the distribution of biological taxa and subtaxa.<ref name=YulePhilTrans>{{cite journal | |||
| last = Yule | |||
| first = G. U. | |||
| title = A Mathematical Theory of Evolution, based on the Conclusions of Dr. J. C. Willis, F.R.S | |||
| journal = [[Philosophical Transactions of the Royal Society B]] | |||
| volume = 213 | |||
| pages = 21–87 | |||
| year = 1925 | |||
| doi = 10.1098/rstb.1925.0002 | |||
| issue = 402–410 | |||
}}</ref> Simon dubbed this process the "Yule process" but it is more commonly known today as a [[preferential attachment]] process.{{citation needed|date=July 2012}} The preferential attachment process is an [[urn problem|urn process]] in which balls are added to a growing number of urns, each ball being allocated to an urn with probability linear in the number the urn already contains. | |||
The distribution also arises as a [[compound distribution]], in which the parameter of a [[geometric distribution]] is treated as a function of random variable having an [[exponential distribution]].{{citation needed|date=July 2012}} Specifically, assume that <math>W</math> follows an exponential distribution with [[scale parameter|scale]] <math>1/\rho</math> or rate <math>\rho</math>: | |||
:<math>W \sim \mathrm{Exponential}(\rho)\,,</math> | |||
with density | |||
:<math>h(w;\rho) = \rho \, \exp(-\rho\,w)\, .</math> | |||
Then a Yule–Simon distributed variable ''K'' has the following geometric distribution conditional on ''W'': | |||
:<math>K \sim \mathrm{Geometric}(\exp(-W))\, .</math> | |||
The pmf of a geometric distribution is | |||
:<math>g(k; p) = p \, (1-p)^{k-1}\,</math> | |||
for <math>k\in\{1,2,\dots\}</math>. The Yule–Simon pmf is then the following exponential-geometric compound distribution: | |||
:<math>f(k;\rho) | |||
= \int_0^{\infty} \,\,\, g(k;\exp(-w))\,h(w;\rho)\,dw | |||
\, .</math> | |||
==Generalizations== | |||
The two-parameter generalization of the original Yule distribution replaces the beta function with an [[incomplete beta function]]. The probability mass function of the generalized Yule–Simon(''ρ'', ''α'') distribution is defined as | |||
:<math> | |||
f(k;\rho,\alpha) = \frac{\rho}{1-\alpha^{\rho}} \; | |||
\mathrm{B}_{1-\alpha}(k, \rho+1) | |||
, | |||
\,</math> | |||
with <math>0 \leq \alpha < 1</math>. For <math>\alpha = 0</math> the ordinary Yule–Simon(''ρ'') distribution is obtained as a special case. The use of the incomplete beta function has the effect of introducing an exponential cutoff in the upper tail. | |||
<!-- This image doesn't seem to be attached to anything in the text: | |||
[[File:Yule-Simon distribution.png|thumb|300px|Plot of the Yule–Simon(1) distribution (red) and its asymptotic Zipf law (blue)]] | |||
--> | |||
==See also== | |||
* [[Beta function]] | |||
* [[Preferential attachment]] | |||
==Bibliography== | |||
* Colin Rose and Murray D. Smith, ''Mathematical Statistics with Mathematica''. New York: Springer, 2002, ISBN 0-387-95234-9. (''See page 107, where it is called the "Yule distribution".'') | |||
==References== | |||
<references /> | |||
{{ProbDistributions|Yule–Simon distribution}} | |||
{{DEFAULTSORT:Yule-Simon Distribution}} | |||
[[Category:Discrete distributions]] | |||
[[Category:Compound distributions]] | |||
[[Category:Probability distributions]] |
Revision as of 07:30, 4 September 2013
Template:Probability distribution In probability and statistics, the Yule–Simon distribution is a discrete probability distribution named after Udny Yule and Herbert A. Simon. Simon originally called it the Yule distribution.[1]
The probability mass function of the Yule–Simon (ρ) distribution is
for integer and real , where is the beta function. Equivalently the pmf can be written in terms of the falling factorial as
where is the gamma function. Thus, if is an integer,
The parameter can be estimated using a fixed point algorithm.[2]
The probability mass function f has the property that for sufficiently large k we have
This means that the tail of the Yule–Simon distribution is a realization of Zipf's law: can be used to model, for example, the relative frequency of the th most frequent word in a large collection of text, which according to Zipf's law is inversely proportional to a (typically small) power of .
Occurrence
The Yule–Simon distribution arose originally as the limiting distribution of a particular stochastic process studied by Yule as a model for the distribution of biological taxa and subtaxa.[3] Simon dubbed this process the "Yule process" but it is more commonly known today as a preferential attachment process.Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. The preferential attachment process is an urn process in which balls are added to a growing number of urns, each ball being allocated to an urn with probability linear in the number the urn already contains.
The distribution also arises as a compound distribution, in which the parameter of a geometric distribution is treated as a function of random variable having an exponential distribution.Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. Specifically, assume that follows an exponential distribution with scale or rate :
with density
Then a Yule–Simon distributed variable K has the following geometric distribution conditional on W:
The pmf of a geometric distribution is
for . The Yule–Simon pmf is then the following exponential-geometric compound distribution:
Generalizations
The two-parameter generalization of the original Yule distribution replaces the beta function with an incomplete beta function. The probability mass function of the generalized Yule–Simon(ρ, α) distribution is defined as
with . For the ordinary Yule–Simon(ρ) distribution is obtained as a special case. The use of the incomplete beta function has the effect of introducing an exponential cutoff in the upper tail.
See also
Bibliography
- Colin Rose and Murray D. Smith, Mathematical Statistics with Mathematica. New York: Springer, 2002, ISBN 0-387-95234-9. (See page 107, where it is called the "Yule distribution".)
References
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The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more
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In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang
Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules
Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.
A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running
The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more
There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang - ↑ One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting
In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang
Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules
Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.
A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running
The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more
There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
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