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Pork chops and applesauce
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Pork chops and applesauce
Pork chops and applesauce is a traditional dish in Spain and the United Kingdom, consisting of cooked pork chops and apple sauce.[1][2][3][a] The pork chops can be pan-fried, baked or broiled, and the meat is sometimes breaded prior to cooking.[5][6][7] Some people consider the dish to be a comfort food.[8][9]
Contents
[hide]
1 History
2 In popular culture
3 See also
4 Notes
5 References
History[edit]
Pork chops and applesauce has been consumed in the United States since at least the 1890s.[10]
In popular culture[edit]
In episode #55 of The Brady Bunch titled "The Personality Kid" that aired in 1971, the phrase "pork chops and applesauce" is stated by Peter Brady (played by Christopher Knight) using an impression of the voice of Humphrey Bogart.[11][12] It has been described as a famous catchphrase of the television show.[13]
See also[edit]
Food portal
List of pork dishes
Spanish cuisine
Notes[edit]
Jump up ^ "But old traditions like pork chops and apple sauce are giving way to the new, mouth-watering flavors of the 90s."[4]
References[edit]
Jump up ^ Good Housekeeping. C.W. Bryan. 1893. p. 23. Retrieved July 29, 2017.
Jump up ^ The New Yorker. New Yorker Magazine. 1925. p. 40. Retrieved July 29, 2017.
Jump up ^ Sarlin, J. (1991). Food from an American Farm. Simon & Schuster. p. 153. ISBN 978-0-671-68499-0. Retrieved July 29, 2017.
Jump up ^ Prairie Farmer. Prairie Farmer Publishing Company. 1995. p. 70. Retrieved July 29, 2017.
Jump up ^ Gazzaniga, D.A. (2002). The No-Salt, Lowest-Sodium Cookbook: Hundreds of Favorite Recipes Created to Combat Congestive Heart Failure and Dangerous Hypertension. St. Martin's Press. p. 82. ISBN 978-0-312-29164-8. Retrieved July 29, 2017.
Jump up ^ Villas, J. (2011). Pig: King of the Southern Table. Houghton Mifflin Harcourt. p. 118. ISBN 978-0-544-18770-2. Retrieved July 29, 2017.
Jump up ^ Whitehead, J. (1889). The Steward's Handbook and Guide to Party Catering. J. Anderson & Company, printers. p. 406. Retrieved July 29, 2017.
Jump up ^ Altiero, K.; Gaudet, K.; Kelly, M. (2014). Adventures in Comfort Food: Incredible, Delicious and New Recipes from a Unique, Small-Town Restaurant. Page Street Publishing. p. 242. ISBN 978-1-62414-081-5. Retrieved July 29, 2017.
Jump up ^ Bilderback, L. (2007). The Complete Idiot's Guide to Comfort Food. The Complete Idiot's Guide Series. Alpha Books. p. 125. ISBN 978-1-59257-633-3. Retrieved July 29, 2017.
Jump up ^ Filippini, A. (1890). The Table: How to Buy Food, how to Cook It, and how to Serve it. Webster. p. 260. Retrieved July 29, 2017.
Jump up ^ Freehof, I.; Catton, P. (2005). The Comfort Diner Cookbook: A World Of Classic Diner Delights, From Homestyle Dinners To Satisfying Breakfasts And Fun Midnight Treats. Clarkson Potter/Publishers. p. 91. ISBN 978-1-4000-8108-0. Retrieved July 29, 2017.
Jump up ^ "Pork Chops and Applesauce". Gourmet. September 2003. Retrieved July 29, 2017 – via Epicurious.
Jump up ^ "In Memory of The Brady Bunch's Ann B. Davis: Make Pork Chops and Applesauce". People. June 2, 2014. Retrieved July 29, 2017.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Pork_chops_and_applesauce&oldid=823198524"
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Mean
From Wikipedia, the free encyclopedia
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This article is about the mathematical concept. For other uses, see Mean (disambiguation).
For the state of being mean or cruel, see meanness.
For a broader coverage of this topic, see average.
In mathematics, mean has several different definitions depending on the context.
In probability and statistics, population mean and expected value are used synonymously to refer to one measure of the central tendency either of a probability distribution or of the random variable characterized by that distribution.[1] In the case of a discrete probability distribution of a random variable X, the mean is equal to the sum over every possible value weighted by the probability of that value; that is, it is computed by taking the product of each possible value x of X and its probability P(x), and then adding all these products together, giving μ = ∑ x P ( x ) {\displaystyle \mu =\sum xP(x)} .[2] An analogous formula applies to the case of a continuous probability distribution. Not every probability distribution has a defined mean; see the Cauchy distribution for an example. Moreover, for some distributions the mean is infinite.
For a data set, the term arithmetic mean, mathematical expectation, and sometimes average are used synonymously to refer to a central value of a discrete set of numbers: specifically, the sum of the values divided by the number of values. The arithmetic mean of a set of numbers x1, x2, ..., xn is typically denoted by x ¯ {\displaystyle {\bar {x}}} , pronounced "x bar". If the data set were based on a series of observations obtained by sampling from a statistical population, the arithmetic mean is termed the sample mean (denoted x ¯ {\displaystyle {\bar {x}}} ) to distinguish it from the population mean (denoted μ {\displaystyle \mu } or μ x {\displaystyle \mu _{x}} ).[3]
For a finite population, the population mean of a property is equal to the arithmetic mean of the given property while considering every member of the population. For example, the population mean height is equal to the sum of the heights of every individual divided by the total number of individuals. The sample mean may differ from the population mean, especially for small samples. The law of large numbers dictates that the larger the size of the sample, the more likely it is that the sample mean will be close to the population mean.[4]
Outside probability and statistics, a wide range of other notions of "mean" are often used in geometry and analysis; examples are given below.
Contents
[hide]
1 Types of mean
1.1 Pythagorean means
1.1.1 Arithmetic mean (AM)
1.1.2 Geometric mean (GM)
1.1.3 Harmonic mean (HM)
1.1.4 Relationship between AM, GM, and HM
1.2 Statistical location
1.3 Mean of a probability distribution
1.4 Generalized means
1.4.1 Power mean
1.4.2 ƒ-mean
1.5 Weighted arithmetic mean
1.6 Truncated mean
1.7 Interquartile mean
1.8 Mean of a function
1.9 Mean of angles and cyclical quantities
1.10 Fréchet mean
1.11 Other means
2 Distribution of the sample mean
3 See also
4 References
5 External links
Types of mean[edit]
Pythagorean means[edit]
Main article: Pythagorean means
Arithmetic mean (AM)[edit]
Main article: Arithmetic mean
The arithmetic mean (or simply "mean") of a sample x 1 , x 2 , … , x n {\displaystyle x_{1},x_{2},\ldots ,x_{n}} , usually denoted by x ¯ {\displaystyle {\bar {x}}} , is the sum of the sampled values divided by the number of items in the example
x ¯ = 1 n ( ∑ i = 1 n x i ) = x 1 + x 2 + ⋯ + x n n {\displaystyle {\bar {x}}={\frac {1}{n}}\left(\sum _{i=1}^{n}{x_{i}}\right)={\frac {x_{1}+x_{2}+\cdots +x_{n}}{n}}}
For example, the arithmetic mean of five values: 4, 36, 45, 50, 75 is:
4 + 36 + 45 + 50 + 75 5 = 210 5 = 42. {\displaystyle {\frac {4+36+45+50+75}{5}}={\frac {210}{5}}=42.}
Geometric mean (GM)[edit]
The geometric mean is an average that is useful for sets of positive numbers that are interpreted according to their product and not their sum (as is the case with the arithmetic mean) e.g. rates of growth.
x ¯ = ( ∏ i = 1 n x i ) 1 n = ( x 1 x 2 ⋯ x n ) 1 / n {\displaystyle {\bar {x}}=\left(\prod _{i=1}^{n}{x_{i}}\right)^{\tfrac {1}{n}}=\left(x_{1}x_{2}\cdots x_{n}\right)^{1/n}}
For example, the geometric mean of five values: 4, 36, 45, 50, 75 is:
( 4 × 36 × 45 × 50 × 75 ) 1 / 5 = 24 300 000 5 = 30. {\displaystyle (4\times 36\times 45\times 50\times 75)^{1/5}={\sqrt[{5}]{24\;300\;000}}=30.}
Harmonic mean (HM)[edit]
The harmonic mean is an average which is useful for sets of numbers which are defined in relation to some unit, for example speed (distance per unit of time).
x ¯ = n ⋅ ( ∑ i = 1 n 1 x i ) − 1 {\displaystyle {\bar {x}}=n\cdot \left(\sum _{i=1}^{n}{\frac {1}{x_{i}}}\right)^{-1}}
For example, the harmonic mean of the five values: 4, 36, 45, 50, 75 is
5 1 4 + 1 36 + 1 45 + 1 50 + 1 75 = 5 1 3 = 15. {\displaystyle {\frac {5}{{\tfrac {1}{4}}+{\tfrac {1}{36}}+{\tfrac {1}{45}}+{\tfrac {1}{50}}+{\tfrac {1}{75}}}}={\frac {5}{\;{\tfrac {1}{3}}\;}}=15.}
Relationship between AM, GM, and HM[edit]
Main article: Inequality of arithmetic and geometric means
AM, GM, and HM satisfy these inequalities:
A M ≥ G M ≥ H M {\displaystyle \mathrm {AM} \geq \mathrm {GM} \geq \mathrm {HM} \,}
Equality holds if and only if all the elements of the given sample are equal.
Statistical location[edit]
See also: Average § Statistical location
Comparison of the arithmetic mean, median and mode of two skewed (log-normal) distributions.
Geometric visualization of the mode, median and mean of an arbitrary probability density function.[5]
In descriptive statistics, the mean may be confused with the median, mode or mid-range, as any of these may be called an "average" (more formally, a measure of central tendency). The mean of a set of observations is the arithmetic average of the values; however, for skewed distributions, the mean is not necessarily the same as the middle value (median), or the most likely value (mode). For example, mean income is typically skewed upwards by a small number of people with very large incomes, so that the majority have an income lower than the mean. By contrast, the median income is the level at which half the population is below and half is above. The mode income is the most likely income and favors the larger number of people with lower incomes. While the median and mode are often more intuitive measures for such skewed data, many skewed distributions are in fact best described by their mean, including the exponential and Poisson distributions.
Mean of a probability distribution[edit]
Main article: Expected value
The mean of a probability distribution is the long-run arithmetic average value of a random variable having that distribution. In this context, it is also known as the expected value. For a discrete probability distribution, the mean is given by ∑ x P ( x ) {\displaystyle \textstyle \sum xP(x)} , where the sum is taken over all possible values of the random variable and P ( x ) {\displaystyle P(x)} is the probability mass function. For a continuous distribution,the mean is ∫ − ∞ ∞ x f ( x ) d x {\displaystyle \textstyle \int _{-\infty }^{\infty }xf(x)\,dx} , where f ( x ) {\displaystyle f(x)} is the probability density function. In all cases, including those in which the distribution is neither discrete nor continuous, the mean is the Lebesgue integral of the random variable with respect to its probability measure. The mean need not exist or be finite; for some probability distributions the mean is infinite (+∞ or −∞), while others have no mean.
Generalized means[edit]
Power mean[edit]
The generalized mean, also known as the power mean or Hölder mean, is an abstraction of the quadratic, arithmetic, geometric and harmonic means. It is defined for a set of n positive numbers xi by
x ¯ ( m ) = ( 1 n ⋅ ∑ i = 1 n x i m ) 1 m {\displaystyle {\bar {x}}(m)=\left({\frac {1}{n}}\cdot \sum _{i=1}^{n}{x_{i}^{m}}\right)^{\tfrac {1}{m}}}
By choosing different values for the parameter m, the following types of means are obtained:
m → ∞ {\displaystyle m\rightarrow \infty } maximum of x i {\displaystyle x_{i}}
m = 2 {\displaystyle m=2} quadratic mean
m = 1 {\displaystyle m=1} arithmetic mean
m → 0 {\displaystyle m\rightarrow 0} geometric mean
m = − 1 {\displaystyle m=-1} harmonic mean
m → − ∞ {\displaystyle m\rightarrow -\infty } minimum of x i {\displaystyle x_{i}}
ƒ-mean[edit]
This can be generalized further as the generalized f-mean
x ¯ = f − 1 ( 1 n ⋅ ∑ i = 1 n f ( x i ) ) {\displaystyle {\bar {x}}=f^{-1}\left({{\frac {1}{n}}\cdot \sum _{i=1}^{n}{f(x_{i})}}\right)}
and again a suitable choice of an invertible ƒ will give
f ( x ) = x {\displaystyle f(x)=x} arithmetic mean,
f ( x ) = 1 x {\displaystyle f(x)={\frac {1}{x}}} harmonic mean,
f ( x ) = x m {\displaystyle f(x)=x^{m}} power mean,
f ( x ) = ln  x {\displaystyle f(x)=\ln x} geometric mean.
Weighted arithmetic mean[edit]
The weighted arithmetic mean (or weighted average) is used if one wants to combine average values from samples of the same population with different sample sizes:
x ¯ = ∑ i = 1 n w i ⋅ x i ∑ i = 1 n w i . {\displaystyle {\bar {x}}={\frac {\sum _{i=1}^{n}{w_{i}\cdot x_{i}}}{\sum _{i=1}^{n}{w_{i}}}}.}
The weights w i {\displaystyle w_{i}} represent the sizes of the different samples. In other applications, they represent a measure for the reliability of the influence upon the mean by the respective values.
Truncated mean[edit]
Sometimes a set of numbers might contain outliers, i.e., data values which are much lower or much higher than the others. Often, outliers are erroneous data caused by artifacts. In this case, one can use a truncated mean. It involves discarding given parts of the data at the top or the bottom end, typically an equal amount at each end and then taking the arithmetic mean of the remaining data. The number of values removed is indicated as a percentage of the total number of values.
Interquartile mean[edit]
The interquartile mean is a specific example of a truncated mean. It is simply the arithmetic mean after removing the lowest and the highest quarter of values.
x ¯ = 2 n ∑ i = ( n / 4 ) + 1 3 n / 4 x i {\displaystyle {\bar {x}}={2 \over n}\sum _{i=(n/4)+1}^{3n/4}{x_{i}}}
assuming the values have been ordered, so is simply a specific example of a weighted mean for a specific set of weights.
Mean of a function[edit]
Main article: Mean of a function
In some circumstances mathematicians may calculate a mean of an infinite (even an uncountable) set of values. This can happen when calculating the mean value y ave {\displaystyle y_{\text{ave}}} of a function f ( x ) {\displaystyle f(x)} . Intuitively this can be thought of as calculating the area under a section of a curve and then dividing by the length of that section. This can be done crudely by counting squares on graph paper or more precisely by integration. The integration formula is written as:
y ave ( a , b ) = ∫ a b f ( x ) d x b − a {\displaystyle y_{\text{ave}}(a,b)={\frac {\int \limits _{a}^{b}\!f(x)\,dx\,}{b-a}}}
Care must be taken to make sure that the integral converges. But the mean may be finite even if the function itself tends to infinity at some points.
Mean of angles and cyclical quantities[edit]
Angles, times of day, and other cyclical quantities require modular arithmetic to add and otherwise combine numbers. In all these situations, there will not be a unique mean. For example, the times an hour before and after midnight are equidistant to both midnight and noon. It is also possible that no mean exists. Consider a color wheel -- there is no mean to the set of all colors. In these situations, you must decide which mean is most useful. You can do this by adjusting the values before averaging, or by using a specialized approach for the mean of circular quantities.
Fréchet mean[edit]
The Fréchet mean gives a manner for determining the "center" of a mass distribution on a surface or, more generally, Riemannian manifold. Unlike many other means, the Fréchet mean is defined on a space whose elements cannot necessarily be added together or multiplied by scalars. It is sometimes also known as the Karcher mean (named after Hermann Karcher).
Other means[edit]
Main category: Means
Arithmetic-geometric mean
Arithmetic-harmonic mean
Cesàro mean
Chisini mean
Contraharmonic mean
Elementary symmetric mean
Geometric-harmonic mean
Grand mean
Heinz mean
Heronian mean
Identric mean
Lehmer mean
Logarithmic mean
Moving average
Neuman-Sándor mean
Root mean square (quadratic mean)
Rényi's entropy (a generalized f-mean)
Spherical mean
Stolarsky mean
Weighted geometric mean
Weighted harmonic mean
Distribution of the sample mean[edit]
Main article: Standard error of the mean
The arithmetic mean of a population, or population mean, is often denoted μ. The sample mean (the arithmetic mean of a sample of values drawn from the population) makes a good estimator of the population mean, as its expected value is equal to the population mean (that is, it is an unbiased estimator). The sample mean is a random variable, not a constant, since its calculated value will randomly differ depending on which members of the population are sampled, and consequently it will have its own distribution. For a random sample of n observations from a normally distributed population, the sample mean distribution is normally distributed with mean and variance as follows:
x ¯ ∼ N { μ , σ 2 n } . {\displaystyle {\bar {x}}\thicksim N\left\{\mu ,{\frac {\sigma ^{2}}{n}}\right\}.}
Often, since the population variance is an unknown parameter, it is estimated by the mean sum of squares; when this estimated value is used, the distribution of the sample mean is no longer a normal distribution but rather a Student's t distribution with n − 1 degrees of freedom.
See also[edit]
Statistics portal
Average
Central tendency
Median
Mode
Descriptive statistics
Kurtosis
Law of averages
Mean value theorem
Median
Mode (statistics)
Summary statistics
Taylor's law
References[edit]
Jump up ^ Feller, William (1950). Introduction to Probability Theory and its Applications, Vol I. Wiley. p. 221. ISBN 0471257087.
Jump up ^ Elementary Statistics by Robert R. Johnson and Patricia J. Kuby, p. 279
Jump up ^ Underhill, L.G.; Bradfield d. (1998) Introstat, Juta and Company Ltd. ISBN 0-7021-3838-X p. 181
Jump up ^ Schaum's Outline of Theory and Problems of Probability by Seymour Lipschutz and Marc Lipson, p. 141
Jump up ^ "AP Statistics Review - Density Curves and the Normal Distributions". Retrieved 16 March 2015.
External links[edit]
Weisstein, Eric W. "Mean". MathWorld.
Weisstein, Eric W. "Arithmetic Mean". MathWorld.
Comparison between arithmetic and geometric mean of two numbers
Some relationships involving means
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text:
Rachel Roberts (model)
From Wikipedia, the free encyclopedia
Jump to: navigation, search
Rachel Roberts
Born
(1978-04-08) April 8, 1978 (age 39)
Vancouver, British Columbia, Canada
Spouse(s)
Andrew Niccol (2002–present; 2 children)
Modeling information
Height
1.78 m (5 ft 10 in)
Hair color
Blonde
Eye color
Blue-green
Agency
One Management (New York)
d'management group (Milan)
Models 1 (London)
View Management (Barcelona)
Iconic Management (Berlin)
Next Model Management (Los Angeles)
Lizbell Agency (Vancouver) [1]
Rachel Roberts (born April 8, 1978) is a Canadian model and actress. She was born in Vancouver, British Columbia, Canada. Roberts has appeared in numerous ad campaigns, most notably for Biotherm Skin Care Products, and she became well known in the United States as the title character in the film Simone.
Contents
[hide]
1 Career
2 Film and television roles
3 Agencies
4 References
5 External links
Career[edit]
When Roberts began modeling, she began to work for magazines such as Elle, Vogue, Harper's Bazaar, Glamour, Marie Claire and the Sports Illustrated Swimsuit Issue of 2000, Victoria's Secret Country 1998, 1999 and Victoria's Secret lookbook 2000, 2001.
Signing on to be skin-care line Biotherm's official model, she gained even more popularity by posing in campaigns for labels such as Ralph Lauren, Gap, Bottega Veneta, Ferre, Sisley, and Victoria's Secret. She has walked for countless designers such as Chloé, Valentino, Givenchy, Fendi, Blumarine, Roberto Cavalli, Comme des Garçons, Paul Smith and Balmain. She also was seen in the European advertisements of Nivea.
Film and television roles[edit]
Roberts made her film debut as the title character of the movie Simone in 2002 performing opposite Al Pacino. The studio attempted to keep her identity a secret during production, and did not accord her credit in the initial theatrical release, in an effort to maintain the illusion that her character was a virtual computer-created entity. After release her identity became known and she received credit in the video release.[2][3] She later married the film's writer, producer, and director, Andrew Niccol.[4] They have two children: son Jack and daughter Ava.[5] She has guest-starred on such television series as Entourage, Ugly Betty and Numbers. She was given a recurring role on the ABC one-hour drama FlashForward. In 2011, she played Carrera in the movie In Time opposite Justin Timberlake and Amanda Seyfried. She appeared in the series CSI: Crime Scene Investigation as Karen Chevera in the episode "Unplugged" (2012). She played Soul Fleur in the 2013 movie The Host. Roberts appeared on Mad Men opposite Jon Hamm in the episode "Tale of Two Cities". She starred in Rihanna's music video "Bitch Better Have My Money" which was released on July 2, 2015. She was cast as Cassandra in Andre Niccol's upcoming sci-fi thriller film Anon.
Agencies[edit]
Liz Bell, Vancouver (mother agency)
NEXT London
NEXT New York
NEXT Los Angeles
NEXT Paris
NEXT Milan
VIEW Spain
References[edit]
Jump up ^ https://models.com/models/rachel-roberts
Jump up ^ David Germain, "'Simone' Gets A Life of Her Own; Rachel Roberts Emerges as the Real Woman Behind Unbilled Role of a Digital Actress", The Washington Post, August 24, 2002 – via HighBeam Research (subscription required).
Jump up ^ Alison Jones, "Culture: Rachel Is an Image of Pixel Perfection; Computers Cannot Replace Real Actors, as Alison Jones Finds out from Rachel Roberts", Birmingham Post, October 30, 2002 – via HighBeam Research (subscription required).
Jump up ^ Nigel Dempster, "Rachel's expecting a baby . . . and it's not just an illusion", The Mail on Sunday, December 29, 2002 – via HighBeam Research (subscription required).
Jump up ^ "Rachel Roberts and Andrew Niccol welcome daughter", People, March 3, 2008.
External links[edit]
Rachel Roberts on IMDb
Rachel Roberts at the Fashion Model Directory
[show]
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2000–2009 Sports Illustrated Swimsuit Issue
2000
Elsa Benítezp
Kylie Bax
Michelle Behennah
Laetitia Casta
Yamila Díaz
Luján Fernández
Kristy Hinze
Malia Jonesp
Heidi Klum
Melania Knaussp
Shakara Ledard
Ana Paula Lemesp
Noémie Lenoir
Josie Maranp
Carré Otis
Daniela Peštová
Audrey Quockp
Gabrielle Reecep
Rachel Roberts
Molly Simsp
Veronika Vařeková
Estella Warren
2001
Michelle Behennah
Elsa Benítez
Aurélie Claudel
Yamila Díaz*
Luján Fernández
Janelle Fishmanp
Heidi Klum*
Shakara Ledard*
Kim Lemantonp
Noémie Lenoir*
Shirley Mallmann
Josie Maran
Petra Němcováp
Daniela Peštová
Audrey Quockp
Molly Sims*
Fernanda Tavares*
Veronika Vařeková*
Amy Wesson
2002
Ana Beatriz Barros
Elsa Benítez
Ehrinn Cummings
Yamila Díaz
Isabeli Fontana
Bridget Hall
Melissa Keller
Heidi Klum
Shakara Ledard
Vanessa Lorenzo
Josie Maran
Carla Mariap
Marisa Millerp
Annie Mortonp
Petra Němcová
Chandra North
Daniela Peštováp
Audrey Quock
Molly Sims
Veronika Vařeková
2003
Michelle Alvesp
May Andersen
Ana Beatriz Barros
Yamila Díaz
Reka Ebergenyip
Isabeli Fontana
Bridget Hall
Rachel Hunter*
Melissa Keller
Noémie Lenoir
Juliana Martins
Marisa Miller
Petra Němcová
Sarah O'Hare
Daniela Peštová
Audrey Quock
Molly Sims
Fernanda Tavaresp
Jessica White
2004
May Andersen
Ana Beatriz Barros
Elsa Benítez
Yamila Díaz
Bridget Hall*
Melissa Keller*
Noémie Lenoir*
Angela Lindvall
Marisa Miller*
Fernanda Motta
Carolyn Murphy
Petra Němcová*
Daniela Peštová
Frankie Rayder
Molly Sims
Jessica Van Der Steen
Veronika Vařeková
Jessica White*
2005
Michelle Alves
Ana Beatriz Barros
Yamila Díaz
Alicia Hall
Bridget Hall*
Shakara Ledard
Noémie Lenoir
Michelle Lombardo
Marisa Miller*
Fernanda Motta
Carolyn Murphy
Petra Němcová
Oluchi Onweagba
Frankie Rayder
Daniella Sarahyba*
Mallory Snyder
Jessica Van Der Steen
Anne V*
Veronika Vařeková
Jessica White*
2006
Ana Beatriz Barros
Elsa Benitez
Carla Campbell
Brooklyn Decker
Yamila Diaz
Bridget Hall
Rachel Hunter
Heidi Klum*
Noémie Lenoir
Elle Macpherson
Marisa Miller
Fernanda Motta
Carolyn Murphy
Aline Nakashima
Petra Němcová
Oluchi Onweagba
Daniela Peštová
Rebecca Romijn
Pania Rose
Daniella Sarahyba
Molly Sims
Mallory Snyder
Yésica Toscanini
Veronica Varekova
Anne V
2007
Ana Paula Araújo*
Ana Beatriz Barros
Brooklyn Decker
Yamila Díaz
Selita Ebanks
Julie Henderson
Beyoncé Knowles
Marisa Miller*
Fernanda Motta
Aline Nakashima
Raica Oliveira
Oluchi Onweagba
Tori Praver*
Bar Refaeli
Daniella Sarahyba*
Irina Shayk
Fernanda Tavares
Yésica Toscanini
Anne V
Veronika Vařeková
Jessica White
2008
Melissa Baker
Ana Beatriz Barros
Yasmin Brunet
Jeísa Chiminazzo
Brooklyn Decker
Selita Ebanks
Jessica Gomes*
Quiana Grant*
Melissa Haro
Julie Henderson
Jarah Mariano
Marisa Miller*
Oluchi Onweagba
Tori Praver*
Bar Refaeli
Daniella Sarahyba
Irina Shayk
Anne V
Jessica White
2009
Kim Cloutier
Brooklyn Decker*
Cintia Dicker
Lucia Dvorská
Esti Ginzburg
Jessica Gomes
Melissa Haro
Jessica Hart
Julie Henderson*
Damaris Lewis
Jarah Mariano
Ariel Meredith
Tori Praver
Bar Refaeli
Hilary Rhoda
Daniella Sarahyba
Irina Shayk*
Anne V
Jessica White*
40th Anniversary (2004)
Hall of Fame
Elle Macpherson
Paulina Porizkova
Rachel Hunter
Tyra Banks
Valeria Mazza
Stacey Williams
Heidi Klum
Cheryl Tiegs
Roshumba Williams
Christie Brinkley
Vendela Kirsebom
All-Star Reunion
Cover (2006)
Elsa Benítez
Yamila Díaz
Rachel Hunter
Elle Macpherson
Carolyn Murphy
Daniela Peštová
Rebecca Romijn
Veronika Vařeková (Celebrity special: Maria Sharapova)
bold indicates cover model, *appeared in bodypainting by Joanne Gair, pappeared in print edition only
Authority control
WorldCat Identities
VIAF: 2148768
LCCN: no2003014119
SUDOC: 149476620
This article about a Canadian actor or actress is a stub. You can help Wikipedia by expanding it.
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This biographical article about a Canadian model is a stub. You can help Wikipedia by expanding it.
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Retrieved from "https://en.wikipedia.org/w/index.php?title=Rachel_Roberts_(model)&oldid=790501342"
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z

values: Featured content – the best of Wikipedia

values: Find background information on current events

values:
/wiki/Special:Random
Load a random article [ctrl-alt-x]
x

values: portal navigation p-navigation p-navigation-label

values: Guidance on how to use and edit Wikipedia

values: About the project, what you can do, where to find things

values: A list of recent changes in the wiki [ctrl-alt-r]

values: portal navigation p-interaction p-interaction-label

values: List of all English Wikipedia pages containing links to this page [ctrl-alt-j]

values: Recent changes in pages linked from this page [ctrl-alt-k]

values:
/wiki/Wikipedia:File_Upload_Wizard
Upload files [ctrl-alt-u]
u

values: A list of all special pages [ctrl-alt-q]

values: Permanent link to this revision of the page

values: Link to connected data repository item [ctrl-alt-g]

values: Printable version of this page [ctrl-alt-p]

values:
uls-settings-trigger
Language settings
0
button
true

values: راشيل روبرتس – Arabic

values: ریچل رابرتس (مدل) – Persian

values: Rachel Roberts (mannequin canadien) – French

values: レイチェル・ロバーツ (モデル) – Japanese

values: Робертс, Рэйчел (модель) – Russian

values:
suggestions
display: none; font-size: 13px;

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