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[[Image:Total least squares.svg|right|thumb|200xp| Deming regression. The red lines show the error in both ''x'' and ''y''. This is different from the traditional least squares method which measures error parallel to the ''y'' axis. The case shown, with deviations measured perpendicularly, arises when ''x'' and ''y'' have equal variances.]]
 
In [[statistics]], '''Deming regression''', named after [[W. Edwards Deming]], is an [[errors-in-variables model]] which tries to find the [[line of best fit]] for a two-dimensional dataset. It differs from the [[simple linear regression]] in that it accounts for [[errors and residuals in statistics|errors]] in observations on both the ''x''- and the ''y''- axis. It is a special case of [[total least squares]], which allows for any number of predictors and a more complicated error structure.
 
Deming regression is equivalent to the [[maximum likelihood]] estimation of an [[errors-in-variables model]] in which the errors for the two variables are assumed to be independent and [[normal distribution|normally distributed]], and the ratio of their variances, denoted ''δ'', is known.<ref>{{harv|Linnet|1993}}</ref> In practice, this ratio might be estimated from related data-sources; however the regression procedure takes no account for possible errors in estimating this ratio.
 
The Deming regression is only slightly more difficult to compute compared to the [[simple linear regression]]. Many software packages used in clinical chemistry, such as [[Analyse-it]], EP Evaluator, [[MedCalc]] and [[S-PLUS]] offer Deming regression.
 
The model was originally introduced by {{harvtxt|Adcock|1878}} who considered the case ''δ''&nbsp;=&nbsp;1, and then more generally by {{harvtxt|Kummell|1879}} with arbitrary ''δ''. However their ideas remained largely unnoticed for more than 50 years, until they were revived by {{harvtxt|Koopmans|1937}} and later propagated even more by {{harvtxt|Deming|1943}}. The latter book became so popular in [[clinical chemistry]] and related fields that the method was even dubbed ''Deming regression'' in those fields.<ref>Cornbleet, Gochman (1979)</ref>
 
== Specification ==
 
Assume that the available data (''y<sub>i</sub>'', ''x<sub>i</sub>'') are measured observations of the "true" values (''y<sub>i</sub>*'', ''x<sub>i</sub>*''):
: <math>\begin{align}
  y_i &= y^*_i + \varepsilon_i, \\
  x_i &= x^*_i + \eta_i,
  \end{align}</math>
where errors ''ε'' and ''η'' are independent and the ratio of their variances is assumed to be known:
: <math> \delta = \frac{\sigma_\varepsilon^2}{\sigma_\eta^2}. </math>
 
In practice the variance of the <math>x</math> and <math>y</math> parameters is often unknown which complicates the estimate of <math> \delta </math> but where the measurement method for <math>x</math> and <math>y</math> is the same they are likely to be equal so that <math> \delta = 1 </math> for this case.
 
We seek to find the line of "best fit" ''y*'' = ''β''<sub>0</sub> + ''β''<sub>1</sub>''x*'', such that the weighted sum of squared residuals of the model is minimized:<ref>Fuller, ch.1.3.3</ref>
: <math>SSR = \sum_{i=1}^n\bigg(\frac{\varepsilon_i^2}{\sigma_\varepsilon^2} + \frac{\eta_i^2}{\sigma_\eta^2}\bigg) = \frac{1}{\sigma_\varepsilon^2} \sum_{i=1}^n\Big((y_i-\beta_0-\beta_1x^*_i)^2 + \delta(x_i-x^*_i)^2\Big) \ \to\ \min_{\beta_0,\beta_1,x_1^*,\ldots,x_n^*} SSR</math>
 
== Solution ==
The solution can be expressed in terms of the second-degree sample moments. That is, we first calculate the following quantities (all sums go from ''i''&nbsp;=&nbsp;1 to ''n''):
: <math>\begin{align}
  & \overline{x} = \frac{1}{n}\sum x_i, \quad \overline{y} = \frac{1}{n}\sum y_i, \\
  & s_{xx} = \tfrac{1}{n-1}\sum (x_i-\overline{x})^2, \\
  & s_{xy} = \tfrac{1}{n-1}\sum (x_i-\overline{x})(y_i-\overline{y}), \\
  & s_{yy} = \tfrac{1}{n-1}\sum (y_i-\overline{y})^2.
  \end{align}</math>
 
Finally, the least-squares estimates of model's parameters will be<ref>Glaister (2001)</ref>
: <math>\begin{align}
  & \hat\beta_1 = \frac{s_{yy}-\delta s_{xx} + \sqrt{(s_{yy}-\delta s_{xx})^2 + 4\delta s_{xy}^2}}{2s_{xy}} \\
  & \hat\nu_1=\frac{-1}{\hat\beta_1} = \frac {-2 \delta s_{xy}}{s_{yy}-\delta s_{xx} - \sqrt{(s_{yy}-\delta s_{xx})^2 + 4\delta s_{xy}^2}}, \\
  & \hat\beta_0 = \overline{y} - \hat\beta_1\overline{x}, \\
  & \hat{x}_i^* = x_i + \frac{\hat\beta_1}{\hat\beta_1^2+\delta}(y_i-\hat\beta_0-\hat\beta_1x_i).
  \end{align}</math>
where <math>\hat\nu_1</math> is slope of the line normal (perpendicular) to <math>\hat\beta_1</math>.
 
==The case of equal error variances==
 
When <math>\delta=1</math>, Deming regression becomes [[orthogonal regression]]: it minimizes the sum of squared perpendicular distances from the data points to the regression line. In this case, denote each observation as a point ''z''<sub>''j''</sub> in the complex plane (i.e., the point (''x''<sub>''j''</sub>, ''y''<sub>''j''</sub>) is written as ''z''<sub>''j''</sub> = ''x''<sub>''j''</sub> + ''iy''<sub>''j''</sub> where ''i'' is the [[imaginary unit]]). Denote as ''Z'' the sum of the squared differences of the data points from the [[centroid]] (also denoted in complex coordinates), which is the point whose horizontal and vertical locations are the averages of those of the data points. Then:<ref>Minda and Phelps (2008), Theorem 2.3.</ref>
 
*If ''Z'' = 0, then every line through the centroid is a line of best orthogonal fit.
*If ''Z'' ≠ 0, the orthogonal regression line goes through the centroid and is parallel to the vector from the origin to <math>\sqrt{Z}</math>.
 
A [[trigonometry|trigonometric]] representation of the orthogonal regression line was given by Coolidge in 1913.<ref>Coolidge, J. L. (1913).</ref>
 
===Application===
 
In the case of three [[Line (geometry)|non-collinear]] points in the plane, the [[triangle]] with these points as its [[vertex (geometry)|vertices]] has a unique [[Steiner inellipse]] that is tangent to the triangle's sides at their midpoints. The [[Ellipse#Elements of an ellipse|major axis of this ellipse]] falls on the orthogonal regression line for the three vertices.<ref>Minda and Phelps (2008), Corollary 2.4.</ref>
 
==Notes==
{{Reflist}}
 
==References==
* {{cite journal|last=Adcock|first=R. J.|year=1878|title=A problem in least squares|journal=The Analyst|volume=5|issue=2|pages=53–54|publisher=Annals of Mathematics|doi=10.2307/2635758|jstor=2635758}}
* {{cite journal|author=Coolidge, J. L.|year=1913|title=Two geometrical applications of the mathematics of least squares|journal=The [[American Mathematical Monthly]]|volume=20|issue= 6|pages=187–190}}
* {{cite journal|author=Cornbleet, P.J.|coauthor=Gochman, N.|year=1979|title=Incorrect Least–Squares Regression Coefficients|journal=Clin. Chem.|volume=25|issue=3|pages=432–438|pmid=262186}}
* {{cite book|last=Deming|first=W. E.|authorlink=W. Edwards Deming|year=1943|title=Statistical adjustment of data|publisher=Wiley, NY (Dover Publications edition, 1985)|isbn=0-486-64685-8}}
* {{cite book|last=Fuller|first=Wayne A.|year=1987|title=Measurement error models|publisher=John Wiley &amp; Sons, Inc|isbn=0-471-86187-1}}
* Glaister, P. (March 2001). "Least squares revisited". ''[[The Mathematical Gazette]]'' 85: 104-107.
* {{cite book|last=Koopmans|first=T. C.|year=1937|title=Linear regression analysis of economic time series|publisher=DeErven F. Bohn, Haarlem, Netherlands}}
* {{cite journal
  | last = Kummell
  | first = C. H.
  | year = 1879
  | title = Reduction of observation equations which contain more than one observed quantity
  | journal = The Analyst
  | volume = 6
  | issue = 4
  | pages = 97–105
  | publisher = Annals of Mathematics
  | doi = 10.2307/2635646
  | jstor = 2635646
  }}
* {{cite journal
  | last = Linnet
  | first = K.
  | year = 1993
  | title = Evaluation of regression procedures for method comparison studies
  | journal = Clinical Chemistry
  | volume = 39
  | issue = 3
  | pages = 424–432
  | url = http://www.clinchem.org/cgi/reprint/39/3/424
  | pmid = 8448852
  }}
*{{cite journal
| last1 = Minda | first1 = D. | author1-link = David Minda
| last2 = Phelps | first2 = S.
| issue = 8
| journal = [[American Mathematical Monthly]]
| mr = 2456092
| pages = 679–689
| title = Triangles, ellipses, and cubic polynomials
| url = http://www.geogebra.org/en/upload/files/english/steve_phelps/minda%20phelps.pdf
| volume = 115
| year = 2008}}
 
{{DEFAULTSORT:Deming Regression}}
[[Category:Regression analysis]]

Revision as of 08:14, 31 December 2013

Deming regression. The red lines show the error in both x and y. This is different from the traditional least squares method which measures error parallel to the y axis. The case shown, with deviations measured perpendicularly, arises when x and y have equal variances.

In statistics, Deming regression, named after W. Edwards Deming, is an errors-in-variables model which tries to find the line of best fit for a two-dimensional dataset. It differs from the simple linear regression in that it accounts for errors in observations on both the x- and the y- axis. It is a special case of total least squares, which allows for any number of predictors and a more complicated error structure.

Deming regression is equivalent to the maximum likelihood estimation of an errors-in-variables model in which the errors for the two variables are assumed to be independent and normally distributed, and the ratio of their variances, denoted δ, is known.[1] In practice, this ratio might be estimated from related data-sources; however the regression procedure takes no account for possible errors in estimating this ratio.

The Deming regression is only slightly more difficult to compute compared to the simple linear regression. Many software packages used in clinical chemistry, such as Analyse-it, EP Evaluator, MedCalc and S-PLUS offer Deming regression.

The model was originally introduced by Template:Harvtxt who considered the case δ = 1, and then more generally by Template:Harvtxt with arbitrary δ. However their ideas remained largely unnoticed for more than 50 years, until they were revived by Template:Harvtxt and later propagated even more by Template:Harvtxt. The latter book became so popular in clinical chemistry and related fields that the method was even dubbed Deming regression in those fields.[2]

Specification

Assume that the available data (yi, xi) are measured observations of the "true" values (yi*, xi*):

where errors ε and η are independent and the ratio of their variances is assumed to be known:

In practice the variance of the and parameters is often unknown which complicates the estimate of but where the measurement method for and is the same they are likely to be equal so that for this case.

We seek to find the line of "best fit" y* = β0 + β1x*, such that the weighted sum of squared residuals of the model is minimized:[3]

Solution

The solution can be expressed in terms of the second-degree sample moments. That is, we first calculate the following quantities (all sums go from i = 1 to n):

Finally, the least-squares estimates of model's parameters will be[4]

where is slope of the line normal (perpendicular) to .

The case of equal error variances

When , Deming regression becomes orthogonal regression: it minimizes the sum of squared perpendicular distances from the data points to the regression line. In this case, denote each observation as a point zj in the complex plane (i.e., the point (xj, yj) is written as zj = xj + iyj where i is the imaginary unit). Denote as Z the sum of the squared differences of the data points from the centroid (also denoted in complex coordinates), which is the point whose horizontal and vertical locations are the averages of those of the data points. Then:[5]

  • If Z = 0, then every line through the centroid is a line of best orthogonal fit.
  • If Z ≠ 0, the orthogonal regression line goes through the centroid and is parallel to the vector from the origin to .

A trigonometric representation of the orthogonal regression line was given by Coolidge in 1913.[6]

Application

In the case of three non-collinear points in the plane, the triangle with these points as its vertices has a unique Steiner inellipse that is tangent to the triangle's sides at their midpoints. The major axis of this ellipse falls on the orthogonal regression line for the three vertices.[7]

Notes

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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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    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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  • Glaister, P. (March 2001). "Least squares revisited". The Mathematical Gazette 85: 104-107.
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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
  • 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
  1. Template:Harv
  2. Cornbleet, Gochman (1979)
  3. Fuller, ch.1.3.3
  4. Glaister (2001)
  5. Minda and Phelps (2008), Theorem 2.3.
  6. Coolidge, J. L. (1913).
  7. Minda and Phelps (2008), Corollary 2.4.