variance = ( Sum_sqr-(( Sum * Sum )/ n ))/( n-1 )

variance =

variance =

variance =

* The MSE, variance, and bias, are related: i. e. mean squared error = variance + square of bias.

* the probable increase in time associated with a risk ( schedule variance due to risk, Rs where Rs =

A time series taken for one time-difference τ < sub > 0 </ sub > can be used to generate Allan variance for any τ being an integer multiple of τ < sub > 0 </ sub > in which case τ = nτ < sub > 0 </ sub > is being used, and n becomes a variable for the estimator.

The medium-power talker volume, V, is given by V = V < sub > o </ sub > + 0. 115σ < sup > 2 </ sup >, where V < sub > o </ sub > is the average of the talker volume distribution in volume units ( vu ), and σ < sup > 2 </ sup > is the variance of the distribution.

A simple example is one in which X has a normal distribution with expected value 0 and variance 1, and Y = X if | X | > c and Y = − X if | X | < c, where c > 0.

For example, if the average of n uncorrelated random variables Y < sub > i </ sub >, i = 1, ..., n, all having the same finite mean and variance, is given by

The fourth central moment is an upper bound for the square of variance, so that the least value for their ratio is one, therefore, the least value for the excess kurtosis is-2, achieved, for instance, by a Bernoulli with p = 1 / 2.

Consider the variance formula: e = PQ, wherein P is equal to the proportion of " 1's " or " cases " and Q is equal to ( 1-P ), the proportion of " 0's " or " noncases " in the distribution.

This integral is 1 if and only if a = 1 /( c √( 2π )), and in this case the Gaussian is the probability density function of a normally distributed random variable with expected value μ = b and variance σ < sup > 2 </ sup > = c < sup > 2 </ sup >.

In probability theory, Maxwell's theorem, named in honor of James Clerk Maxwell, states that if the probability distribution of a vector-valued random variable X = ( X < sub > 1 </ sub >, ..., X < sub > n </ sub > )< sup > T </ sup > is the same as the distribution of GX for every n × n orthogonal matrix G and the components are independent, then the components X < sub > 1 </ sub >, ..., X < sub > n </ sub > are normally distributed with expected value 0, all have the same variance, and all are independent.

For example, if a random variable X admits an expected value μ = E ( X ) and a variance σ < sup > 2 </ sup >

I ) it is implied that the experimental errors are uncorrelated and all equal: M = σ < sup > 2 </ sup > I, where σ < sup > 2 </ sup > is the variance of an observation, and I is the identity matrix.

where x < sub > i </ sub >, i = 1, ..., n are known, α and β are unknown, and ε < sub > i </ sub > are independent identically normally distributed random errors with expected value 0 and unknown variance σ < sup > 2 </ sup >, and Y < sub > i </ sub >, i = 1, ..., n are observed.

The maximum variance of this distribution is 0. 25 / n, which occurs when the true parameter is p = 0. 5.

Another form of shirk mentioned in the Qur ' an is to take scholars of religion, monks, divines or religious lawyers as Lord /( s ) in practice by following their doctrines, and / or by following their rulings on what is lawful when it is at variance to the law or doctrines prescribed by God's revelation.

# As exploratory data analysis, an ANOVA is an organization of an additive data decomposition, and its sums of squares indicate the variance of each component of the decomposition ( or, equivalently, each set of terms of a linear model ).

# REDIRECT Analysis of variance

# REDIRECT Analysis of variance

# REDIRECT Analysis of variance

# REDIRECT Analysis of variance

# Multivariate analysis of variance ( MANOVA ) extends the analysis of variance to cover cases where there is more than one dependent variable to be analyzed simultaneously: see also MANCOVA.

# Redundancy analysis is similar to canonical correlation analysis but allows the user to derive a specified number of synthetic variables from one set of ( independent ) variables that explain as much variance as possible in another ( independent ) set.

# The noise can be approximated by a zero-mean Gaussian random process of variance which is uncorrelated between trials and not time-locked to the event ( this assumption can be easily violated, for example in the case of a subject doing little tongue movements while mentally counting the targets in an oddball paradigm ).

See direct material usage variance # Example and direct material price variance # Example for computations of both components.

See direct material total variance # Example and direct material usage variance # Example for computations of both components.

See direct material total variance # Example and direct material price variance # Example for computations of both components.

# Some authors have suggested a formal detection-tolerance or the variance inflation factor ( VIF ) for multicollinearity: where is the coefficient of determination of a regression of explanator j on all the other explanators.

# REDIRECTAllan variance

# REDIRECT Direct labour cost variance

* Sample variance and sample standard deviation

* Sample variance:

***** Variance methods-clusters are generated that minimize the within-cluster variance

Variance in SI alleles parallels the variance in flower morphs, thus pollen from one morph can fertilize only pistils from the other morph.

Historically, implied variance has been above realized variance, a phenomenon known as the Variance risk premium, creating an opportunity for volatility arbitrage, in this case known as the rolling short variance trade.

M2 =

| guns = 6 × 0. 50 in ( 12. 7 mm ) M2 Browning machine guns ( 300 rpg )

There are twelve semitones of the octave S, R1, R2 = G1, R3 = G2, G3, M1, M2, P, D1, D2 = N1, D3 = N2, N3 ( see swaras in Carnatic music for explanation of these notations ).

| guns = 6 0. 50 in ( 12. 7 mm ) M2 Browning machine guns ( 1, 602 rounds in total )

| guns = 4 × 20 mm Hispano-Suiza M2 cannon, 200 rpg

| guns = 4 × 20 mm ( 0. 79 in ) M2 cannon, 190 rpg

| guns = 4 × 12. 7 mm ( 0. 50 in ) M2 Browning machine guns ; or2 × 30 mm ( 1. 18 in ) DEFA cannons ( Luftwaffe G. 91R / 3 only )

| guns = 6 × 0. 50 in ( 12. 7 mm ) AN / M2 Browning machine guns,

| guns = 4 × 20 mm M2 cannons @ 200 r. p. g.

| guns = 20 ×. 50 in ( 12. 7 mm ) M2 Browning machine guns

| guns = 6 ×. 50 in ( 12. 7 mm ) Browning M2 machine guns

| guns = 18 ( or more ) ×. 50 in ( 12. 7 mm ) Browning M2 machine guns.

| guns = 4 × M2 Browning machine guns in nose and tail turret

The first and second lower molars are approximately the same length ( M1, average length x =- 1. 93 mm, N-13 ; M2, x = 2. 00 mm, N-9 ); M. is longer ( x = 2. 32 mm, N-7 ).

* http :// books. google. com / books? id = YEcKAAAAIAAJ & pg = PA132 & lpg = PA132 & dq = The + Cimaruta ,+ its + Structure + and + Development .+ R .+ T .+ Gunther & source = bl & ots = TS13RofX2m & sig = c0PHJPoFZwnW2M-xDubcGopvgho & hl = en & ei = eZuLSdiYIoKUsQO3s4GLCQ & sa = X & oi = book_result & resnum = 1 & ct = result # PPA132, M2