• From eq.(3.4), we can set the sufficient statistic <math>t\left(x \right)</math> and parameters <span
    17 KB (2,590 words) - 10:45, 22 January 2015
  • where I is some open interval of the real number set <math>\mathbb{R}</math>. This is called a `parametric representation' of th ...to parametrize a graph described by y = f(x) is to choose a parameter and set it equal to x, then express y in terms of that parameter. For example, the
    10 KB (1,752 words) - 17:02, 14 May 2015
  • | <math> (i.e.,\ |a|R=\ the\ set\ of\ points\ {|a|z}\ for\ z\ in\ R)\ </math> | <math> R^{1/k}\ (i.e.,\ the\ set\ of\ points\ z^{1/k},\ </math>
    7 KB (1,018 words) - 08:55, 6 March 2015
  • *Definition of a set **[[Practice_Question_definition _set_ECE302S13Boutin|Do these signals form a set?]]
    7 KB (960 words) - 18:17, 23 February 2015
  • ...t Analysis is a process of extracting useful information from a noisy data set. Complex data sets may hid significant relationship between variables, and ...at a set frequency. We live in a three dimensional world, so we decide to set up three cameras in a rather random directions to collect the data on the m
    6 KB (1,043 words) - 12:45, 3 March 2015
  • Let <math class="inline">\left\{ t_{k}\right\}</math> be the set of Poisson points corresponding to a homogeneous Poisson process with param
    5 KB (780 words) - 01:25, 9 March 2015
  • This question is a set of short-answer questions (no proofs):
    5 KB (729 words) - 00:51, 10 March 2015
  • ...h> . The event space <math class="inline">\mathcal{F}</math> is the power set of <math class="inline">\mathcal{S}</math> , and the probability measure <m
    5 KB (735 words) - 01:17, 10 March 2015
  • ...ex as a function of <math class="inline">q</math> (the probability that a set of twins are identical.)
    5 KB (748 words) - 01:01, 10 March 2015
  • ...ent of' 'the set of real numbers' 'for all' n 'which are elements of' 'the set of natural numbers'. ...implies that <math>ln(x)</math> must be <math>< 0</math>), we arbitrarily set <math>s = -ln(x)</math> or <math>-s = ln(x)</math>, which leaves us with:
    3 KB (512 words) - 15:14, 1 May 2016
  • ...utilized the property that ''arctan(-x)'' = ''-arctan(x)''. Explicitly, I set a 'negative flag' if the ''arctan'' to be calculated had a negative argumen ...utput at a macro scale (ie not by counting assembly instruction cycles), I set the conditionals in the code such that the longest logical processing path
    8 KB (1,176 words) - 15:15, 1 May 2016
  • ...the 4 signs of the set of voltage equations, as well rule that bounds the set of possible sign configurations.
    3 KB (474 words) - 15:17, 1 May 2016
  • % set params
    2 KB (289 words) - 15:14, 1 May 2016
  • ...ydrogen and Carbon, it is redundant and needs to be removed. A sign that a set of vectors is a basis is that any vector you add to it from vector space V ...o generate every color and don't have any redundant colors among their own set, then they serve as a basis for all colors.
    14 KB (2,247 words) - 13:09, 3 March 2015
  • ...tes. Since <math>\phi</math> was allowed to be any scalar function, we can set <math>\phi = \theta</math> to obtain
    19 KB (3,027 words) - 12:01, 24 February 2015
  • ...late, then, that the transformation from one set of coordinates to another set is merely ...ansformation T, T is the Transformation from C1 to C2 and C2 is the second set of coordinates.
    18 KB (2,894 words) - 12:17, 3 March 2015
  • ...> <br /> where, <math>n</math> is the number of events (cardinality of the set <math>\{A_{i}\}</math>) in the sample space and, <math>i = 1, 2, ..., n</ma
    14 KB (2,241 words) - 10:42, 22 January 2015
  • ...e global maximum. So we take the derivative w.r.t. <math>\beta</math>, and set it equal to zero to find the maximum.
    13 KB (2,062 words) - 10:45, 22 January 2015
  • ...near separation, which is a hyperplane. The hyperplane can be defined by a set of points which are equidistant to <math>\mu_1</math> and <math>\mu_2</math
    19 KB (3,255 words) - 10:47, 22 January 2015
  • ...orthonormal transformations to convert the observed correlated data into a set of linearly uncorrelated data, which are the so-called principle components &nbsp; &nbsp; In this section, I will just use PCA on a simple data set to help you gain some intuition of PCA, the question of "why does it work"
    22 KB (3,459 words) - 10:40, 22 January 2015

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Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood