Search results

{{Short description|Method for estimating the parameters of economic models}} ...a computational method for determining acceptable [[macroeconomic model]] parameters in circumstances where the available data is too voluminous or unsuitable f ...

...en defined by upper or lower limits, represented as straight lines. In the statistical variable space, specification limits typically take nonlinear shapes. WCD i ...phase, engineers aim to maximize yield by using simulation techniques and statistical models. Often, data follows a normal distribution, and for such distributio ...

...c methods may lead to misleading conclusions or may fail to detect truly [[Statistical significance|significant]] results from [[experiment]]s. ...n that they are based on exact probability statements. While conventional statistical methods do not provide exact solutions to such problems as testing [[varian ...

...mate statistical methods. The main characteristic of exact methods is that statistical tests and [[confidence interval]]s are based on exact probability statement ...cal methods help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical [[ANOVA]]. ...

...iology|issue=3 |doi=10.1016/0013-4694(70)90143-4|pmid=4195653 }}</ref> The parameters are Activity, Mobility, and Complexity. ...nalysis of [[electroencephalography]] signals for feature extraction. The parameters are normalised slope descriptors (NSDs) used in EEG. ...

...lysis is conducted on [[metric space]]s. It is commonly used to define the statistical [[covariance]] between measurements made at two points that are ''d'' units ...

...te of false [[coverage (statistics)|coverage]], i.e. not covering the true parameters, among the selected intervals. ...coverage at a (1&nbsp;&minus;&nbsp;''α'')&times;100% level for all of the parameters considered in the problem. The FCR has a strong connection to the [[false d ...

|parameters =<math>q < 2 </math> [[shape parameter|shape]] ([[Real number|real]]) <br / ...utions: an empirical analysis |arxiv=cond-mat/0301552 |journal= Physica A: Statistical Mechanics and Its Applications|volume= 324|issue= 3|pages= 678–688|doi= 10 ...

parameters =<math>b>0</math> [[scale parameter|scale]]<br/><math> n> 0</math> [[shape ...ies''). It is a generalization of the [[Planck's law]] of radiation from [[statistical physics]]. ...

...rt]], first in two 2003 discussion articles in ''[[Journal of the American Statistical Association]]'' and later on in other papers and in their 2008 book. ...e choice of which does not depend on mathematics but on the scientific and statistical context. Thus the FIC apparatus may be selecting one model as most appropri ...

{{Short description|Statistical property quantifying how much a collection of data is spread out}} ...blisher=U.S. Department of Commerce}}</ref> Common examples of measures of statistical dispersion are the [[variance]], [[standard deviation]], and [[interquartil ...

:: <math> {\theta} </math> is the vector of parameters of the underlying failure-time distribution. == Statistical estimation == ...

...by processing all the given training examples one-by-one and updating the parameters according to each training example, so that the current training example is </ref> The change of the parameters is kept as small as possible. ...

{{Short description|Time series statistical test}} ...de-trends (de-means) data series to efficiently estimate the deterministic parameters of the series, and use the transformed data to perform a usual ADF unit roo ...

...le]] to the [[wave function]]. In particular one can show that the optimal parameters for the evolution satisfy at each time the equation of motion ...ed configurations. The trajectories <math> a(t) </math> of the variational parameters are then found upon numerical integration of the associated [[differential ...

...on matrix test''' is used to determine whether a [[regression model]] is [[Statistical model specification|misspecified]]. The test was developed by [[Halbert Whi ...to be distributed <math>\mathrm{N}(0, \sigma^2 \mathbf{I})</math>. If the parameters <math>\beta</math> and <math>\sigma^2</math> are stacked in the vector <mat ...

* It may not be optimal when estimating multiple parameters simultaneously. Neyman allocation is widely used in large-scale surveys and statistical studies, particularly in: ...

{{Short description|Statistical distribution}} | parameters =<math> 0 < a < b, a, b \in \R</math> ...

parameters =<math>\alpha>0</math> [[shape parameter|shape]] ([[real number|real]])<br/ ...in actuarial applications, and other economic data.<ref>{{cite book|title= Statistical Size Distributions in Economics and Actuarial Sciences |first1=Christian |l ...

{{Short description|Error rate in statistical mathematics}} ...t=Keinosuke|author-link=Keinosuke Fukunaga|date=1990|title=Introduction to Statistical Pattern Recognition|isbn=0122698517|pages=3, 97}}</ref><ref name=Tumer >K. ...