Search results for "Statistics" - Rhea

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• Bio Steven Cuppy ECE400 Spring2014
  ...Criterion Wireless Corp., a company specializing in measuring market share statistics for wireless service providers. Criterion was subsequently acquired. Most r
  1 KB (149 words) - 09:57, 3 April 2014
• Curse of Dimensionality
  ...ation lost. Because of this reason, lots of people in machine learning and statistics work on the extraction/selection of features. Sometimes it requires prior k
  9 KB (1,419 words) - 10:41, 22 January 2015
• 2016 Summer ECE 302 Castellanos
  ...stellanos.pdf|Exam]] | [[Media:MT1_stats_ECE302_Summer2016_Castellanos.pdf|Statistics]] | [[Media:MT1_soln_ECE302_Summer2016_Castellanos.pdf|Solution]] ...stellanos.pdf|Exam]] | [[Media:MT2_stats_ECE302_Summer2016_Castellanos.pdf|Statistics]] | [[Media:MT2_soln_ECE302_Summer2016_Castellanos.pdf|Solution]]
  6 KB (671 words) - 11:24, 2 August 2016
• 2016 Summer ECE 301 Shenk
  *[[Media:ECE301_Exam1_Soln.pdf|Solution]]. Statistics: possible=100, mean = 76, stdev=17, plot of histogram by [[Media:ECE301Summ *[[Media:ECE301_Exam2_Soln.pdf|Solution]]. Statistics: possible=100, mean = 66, stdev=22, plot of histogram by [[Media:ECE301Summ
  6 KB (765 words) - 13:35, 4 August 2016
• Bayes Parameter Estimation
  ...homas A. Louis. ”Bayes and empirical Bayes methods for data analysis.” Statistics and Computing 7.2 (1997): 153-154.<br>[3] Box, George EP, and George C. Tia
  15 KB (2,273 words) - 10:51, 22 January 2015
• Neyman-Pearson Lemma and Receiver Operating Characteristic Curve
  ...(ROC) curve from theory to application. The fundamental theories stem from statistics and these can be used for signal detection and classification. In order to ...math>(False Alarm) and <math>P_M\,</math>(Miss). Since the expression from Statistics and ECE are different, I try to explain two different perspectives. Statist
  15 KB (2,306 words) - 10:48, 22 January 2015
• 662slecture tang
  These are the sufficient statistics for the Gaussian distribution. The derivative of the log likelihood with re
  9 KB (1,382 words) - 10:47, 22 January 2015
• Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method
  ...ression may be furthur simplified by defining the following two new sample statistics, ...pically, statistics summarize the data in some useful way. Using these two statistics, the pdf of <math>Y</math> may be written as:
  14 KB (2,356 words) - 20:48, 30 April 2014
• ECE662 roc
  *Some statistics in ROC curves == '''&nbsp;4. Some Statistics Under the Hoods'''^{'''[4,5,7]&nbsp;'''}<br> ==
  11 KB (1,823 words) - 10:48, 22 January 2015
• Generation-of-normally-distributed-random-numbers-under-a-binary-prior-probability
  ..., then, continue to generating a normal random number based on the class 1 statistics $(\mu, \sigma)$. ...then, move onto the normal random number generation step with the class 2 statistics like the same way as we did for class 1.
  16 KB (2,400 words) - 23:34, 29 April 2014
• ECE662roc comments
  ...ular I liked how two plots were shown for different values of gamma in the statistics section. Doing this makes it kind animate in the mind of the reader, so tha
  2 KB (385 words) - 17:55, 7 May 2014
• Generating N-D Gaussian Data in Two Classes HyunDok Cho review
  ...atLab program opened on screen and executed data synthesis and plotted its statistics on live. For the 1D example, the author utilized MatLab built-in function (
  3 KB (490 words) - 16:21, 14 May 2014
• Bayes Parameter Estimation with examples
  ...ndex.html Virtual Laboratories], "Virtual Laboratories in Probability and Statistics"
  10 KB (1,600 words) - 10:52, 22 January 2015
• Generation of N-dimensional normally distributed random numbers from two categories with different priors
  ...then, move onto the normal random number generation step with the class 2 statistics like the same way as we did for class 1. In summary, ...le, now it is time to generate actual random number that follows the class statistics determined in the prior selection step. The normal distribution is frequent
  18 KB (2,852 words) - 10:40, 22 January 2015
• Maximum Likelihood Estimators and Examples
  ...ression may be furthur simplified by defining the following two new sample statistics, ...pically, statistics summarize the data in some useful way. Using these two statistics, the pdf of <math>Y</math> may be written as:
  19 KB (3,418 words) - 10:50, 22 January 2015
• MLEforGMM
  &nbsp; In statistics, an expectation–maximization (EM) algorithm is an iterative method for fi [http://books.google.com/books?isbn=1461457432 Statistics and Measurement Concepts with OpenStat, by William Miller]]
  13 KB (1,966 words) - 10:50, 22 January 2015
• Reviews on Neyman-Pearson Lemma and Receiver Operating Characteristic Curve
  ...and talks about how these are similar to the type I and type II errors in statistics. He then follows it up to discuss about mis-classification error and how th Overall, it is full of useful content, but requires you to have enough statistics background or willingness to read background material.
  3 KB (425 words) - 23:42, 8 May 2014
• 2014 Spring ECE 662 Boutin Statistical Pattern recognition slectures
  [[Category:statistics]]
  8 KB (1,123 words) - 10:38, 22 January 2015
• Bio Steven Cuppy ECE400 Fall2014
  ...Criterion Wireless Corp., a company specializing in measuring market share statistics for wireless service providers. Criterion was subsequently acquired. Most r
  1,011 B (147 words) - 06:29, 22 September 2014
• Walther MA279 Spring2016 topic4
  ...come with a large network. In order to solve this we come up with summary statistics and performance metrics to describe and compare networks.<br />
  14 KB (2,465 words) - 20:07, 24 April 2016