Search results

...e book |last1=Tukey |first1=John W |title=Mathematics and the Picturing of Data |date=1975 |publisher=Proceedings of the International Congress of Mathemat Tukey's depth measures how extreme a point is with respect to a point cloud. It is used to define the [[bagplo ...

{{short description|Greatest and least values in a statistical data sample}} The minimum and the maximum value are the first and last [[order statistic]]s (often denoted ''X''<sub>(1)</s ...

...for extremes of samples]], it is necessary to "reduce" the actual greatest value by applying a [[linear transformation]] with coefficients that depend on th ...limiting [[cumulative distribution function]] from the "reduced" greatest value from <math>\ F(x)\ ,</math> we will denote it by <math>\ G(y) ~.</math> It ...

...istribution is unknown. It is often called the second theorem in [[extreme value theory]]. Unlike the first theorem (the [[Fisher–Tippett–Gnedenko theorem]] ...ied function <math>\ F_u\ </math> describes the distribution of the excess value over a threshold <math>\ u\ ,</math> given that the threshold is exceeded. ...

...n]]. This is generally done to obtain a more [[robust statistic]], and the extreme values are considered [[outlier]]s.<ref>{{Cite book|last=Kaltenbach|first=H ...st observations or on both end: it is a statistic on the ''middle'' of the data. For instance, the 5% [[trimmed mean]] is obtained by taking the mean of th ...

...mulate, researchers attempting to test and simulate new choice models with data often encounter problems from as simple as scaling parameter to misspecific ...her hand and tries to construct a choice model and simulate it against the data, he/she needs to first define a choice set. A [[Choice Set]] in discrete ch ...

...r one undergoing an extreme negative deviation while the other two undergo extreme positive deviations). There are two different measures for the degree of coskewness in data. ...

...out|the extreme value theorem in statistics|the result in calculus|extreme value theorem}} ...et distribution]], or the [[Weibull distribution]]. Credit for the extreme value theorem and its convergence details are given to [[Fréchet]] (1927),<ref>{{ ...

...[naive Bayes]], [[support vector machines]] and [[Extreme learning machine|extreme learning machines]] to address multi-class classification problems. These t ...Ekin|first1=Cubuk|title=Autoaugment: Learning augmentation strategies from data|journal=Proceedings of the IEEE/CVF Conference on Computer Vision and Patte ...

...a lower limit of liability under which there is a more credible amount of data.<ref name=palm /> ...ere may be a credible volume of data at the countrywide level but not much data available for individual territories or classes. Increased limit factors ca ...

{{Short description|Statistical method for analysing climate data}} ...ience for identifying representative patterns of variability in space-time data-sets such as historical climate observations,<ref name="jewson"/> [[Ensembl ...

...value of the sub-branches. This gives access to a quick indexation by the value of the first dimension of the bounding box. ...

...s that are outside the boundary. It has applications related to predicting extreme events, such as major [[Earthquake prediction|earthquakes]] and [[flood]]s. ...an event where the instantaneous value of the process crosses the critical value with positive slope.{{sfn|Hoblit|1988|pp=51–54}}{{sfn|Rice|1945|pp=54–55}} ...

...(1996) applied the exponentiated Weibull distribution to [[extreme value]] data. They showed that the exponentiated Weibull distribution has increasing, de ...s bathtub-shaped failure rate model | journal = Computational Statistics & Data Analysis | volume = 57 | issue = 1| pages = 645–660 | doi=10.1016/j.csda.20 ...

{{Short description|Data visualization tool}} ...author2=Han Lin|title=Rainbow Plots, Bagplots, and Boxplots for Functional Data|journal=Journal of Computational and Graphical Statistics|year=2010|volume= ...

| title = The ordering of multivariate data ...and the convex layers themselves are the depth contours for this notion of data depth.<ref>{{citation ...

...es for a [[stochastic process|random process]] to reach a certain boundary value, usually a boundary far from the mean. ...{math|''y''(''t'')}} is a real, scalar [[stochastic process]] with initial value {{math|''y''(''t''₀) {{=}} ''y''₀}}, mean {{math|''y' ...

...ntervals, making it distinctively useful in fields that deal with discrete data patterns and reliability analysis. The discrete Weibull distribution is [[I ...File:CDF-2.png|thumb|The CDF of the Discrete Weibull Distribution with a q value of 0.5 and k values of 1 through 5. The B values are as follows: Red = 0.5, ...

...et (''v''₁, ''v''₂, ''v''₃) of associated data is plotted as a disk that expresses two of the ''v_i'' values thr ...r-data-in-a-bubble-chart-424D7BDA-93E8-4983-9B51-C766F3E330D9 Present your data in a bubble chart] Microsoft Office Online. Accessed 16 August 2015.</ref> ...

...bution <math>p \in \Delta T</math>. A finite Bayesian game consists of the data <math>G = ((A_i, T_i, u_i)_{i \in I}, p)</math>. ...cause such a position is unpopular. Therefore, unless a candidate has very extreme – unpopular – positions, they would announce their policy preferences. ...