Commonly used statistics with their abbreviations are explained here.

In 1926, the British physicist Ralph H. Fowler observed that the relationship among the density, energy and temperature of white dwarfs could be explained by viewing them as a gas of nonrelativistic, non-interacting electrons and nuclei which obeyed Fermi-Dirac statistics.

The difference between this " low-end " figure and other estimates can be explained by the lack of exact and detailed sources on the deportations statistics.

* The Müller-Lyer illusion explained by the statistics of image – source relationships

They explained what they called " the Smoky Joe Wood Syndrome ," where a truly exceptional player had a career curtailed by injury, in spite of not having had career statistics that would quantitatively rank him with the all-time greats, should still be included on their list of the 100 greatest players.

They explained what they called " the Smoky Joe Wood Syndrome ," where a player of truly exceptional talent but a career curtailed by injury should still, in spite of not having had career statistics that would quantitatively rank him with the all-time greats, be included on their list of the 100 greatest players.

Certain aspects of cricket terminology are explained in more detail in cricket statistics and the naming of fielding positions is explained at fielding ( cricket ).

In a 2001 Access to Information Request, the RCMP explained that they do not record statistics on which applications are targeted by hackers.

They explained what they called " the Smoky Joe Wood Syndrome ," where a player of truly exceptional talent but a career curtailed by injury should still, in spite of not having had career statistics that would quantitatively rank him with the all-time greats, be included on their list of the 100 greatest players.

They explained what they called " the Smoky Joe Wood Syndrome ", in which a player of truly exceptional talent but whose career was curtailed by injury, in spite of not having had career statistics that would quantitatively rank him with the all-time greats, should still be included on their list of the 100 greatest players.

They explained what they called " the Smoky Joe Wood Syndrome ," where a player of truly exceptional talent but a career curtailed by injury or illness should still — in spite of not owning career statistics that would quantitatively rank him with the all-time greats — be included on their list of the 100 greatest players.

One leader explained that " I don't have any statistics for you.

As part of the same interview, Klaus Teuber's collaboration on the project was explained, noting that he was instrumental in helping Reynolds create the AI, using notes and statistics he had generated years ago but had never previously been able to apply.

Some researchers have suggested that the increase on crime statistics could be partly explained by the stricter approach to schoolyard fights and bullying, leading to a criminalization of behaviours now defined as " assault " behaviours ( while they were simply negatively perceived before ).

In mathematics and statistics, the arithmetic mean, or simply the mean or average when the context is clear, is the central tendency of a collection of numbers taken as the sum of the numbers divided by the size of the collection.

In their USA Today Magazine article titled " Saluting Pittsburgh's Finest " Richard E. Vatz and Lee S. Weinberg said Clemente was " arguably the best in the history of the game " and stated that " understanding the magnitude of Roberto Clemente requires an appreciation of the gestalt of his presence, which was greater than the sum of his statistics ".

* Residual sum of squares in statistics

The sufficient statistic of a set of independent identically distributed data observations is simply the sum of individual sufficient statistics, and encapsulates all the information needed to describe the posterior distribution of the parameters, given the data ( and hence to derive any desired estimate of the parameters ).

Some books tabulate statistics equivalent to U, such as the sum of ranks in one of the samples, rather than U itself.

* In statistics, compositional data is frequently considered to be data in which each data point is an D-tuple of nonnegative numbers whose sum is 1.

* Explained sum of squares, in statistics

Data profiling utilizes different kinds of descriptive statistics such as minimum, maximum, mean, mode, percentile, standard deviation, frequency, and variation as well as other aggregates such as count and sum.

Extra base hits are often not listed separately in tables of baseball statistics, but are easily determined by calculating the sum total of a batter's doubles, triples, and home runs.

The rate of recovery is calculated from the character's statistics and applied per " tick " as a lump sum, so a character would gain ten health per tick, instead of one every tenth of a tick.

The geometric median of a set of points is the point minimizing the sum of distances to the points in the set ; it generalizes the one-dimensional median and has been studied both from the point of view of facility location and robust statistics.

The field is generally represented as a discrete sum of Fourier components each with amplitude and phase that are independent classical random variables, distributed so that the statistics of the fields are isotropic and unchanged under boosts.

Map showing Northern Italy as defined by the Italian statistics institute ( National Institute of Statistics ( Italy ) | Istat ): the sum of the First level NUTS of the European Union | NUTS regions of Italia Nord-Ovest and Italia Nord-Est

In statistics, the residual sum of squares ( RSS ) is the sum of squares of residuals.

This case arises frequently in statistics ; for example, in the distribution of the vector of residuals in the ordinary least squares regression.

* Non-linear least squares, in statistics, a method used in regression analysis

In the next two centuries workers in the theory of errors and in statistics found many different ways of implementing least squares.

However, the method of least squares is often used to generate estimators and other statistics in regression analysis.

In statistics, the Gauss – Markov theorem, named after Carl Friedrich Gauss and Andrey Markov, states that in a linear regression model in which the errors have expectation zero and are uncorrelated and have equal variances, the best linear unbiased estimator ( BLUE ) of the coefficients is given by the ordinary least squares estimator.

The new science of probability and statistics was mainly used in astronomy at the time, to get a handle on measurement errors with the method of least squares.

* The squared-error loss function is widely used in statistics, following Gauss's use of the squared-error loss function in justifying the method of least squares.

Many common statistics, including t-tests, regression models, design of experiments, and much else, use least squares methods applied using linear regression theory, which is based on the quadratric loss function.

In multivariate statistics, Wold contributed the methods of partial least squares ( PLS ) and graphical models.

In statistics and mathematics, linear least squares is an approach to fitting a mathematical or statistical model to data in cases where the idealized value provided by the model for any data point is expressed linearly in terms of the unknown parameters of the model.

In statistics, linear least squares problems correspond to a particularly important type of statistical model called linear regression which arises as a particular form of regression analysis.

First, the calibration curve provides a reliable way to calculate the uncertainty of the concentration calculated from the calibration curve ( using the statistics of the least squares line fit to the data ).

* Weighted least squares, in statistics, a method for model fitting

In total, Hendricks published 53 articles and papers on magic squares and cubes, 14 articles on statistics, 15 articles on meteorology, 14 miscellaneous articles and 12 books ( above ).

In classical statistics, sum-minimization problems arise in least squares and in maximum-likelihood estimation ( for independent observations ).

In statistics, ordinary least squares ( OLS ) or linear least squares is a method for estimating the unknown parameters in a linear regression model.

* Sum of squares ( statistics )

* Sum of squares ( statistics )

* Sum of squares ( statistics )