Search results for "Statistics" - Rhea

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• Test2feedbackECE438f09mboutin
  :Thanks for the feedback Ryan. I agree with your last statement. The statistics I have compiled indicate that there was indeed generalized confusion about
  945 B (155 words) - 17:55, 8 December 2009
• ECE662 hw1 discussions
  The transformed data, using either A or B, should have be the desired statistics (please verify!).
  4 KB (596 words) - 13:17, 12 November 2010
• MA 375 Spring 2010 Walther Discussion Majors
  Sophomore - Majors: Math, Statistics; Minors: Economics, Computer Science, Sociology
  328 B (40 words) - 19:17, 19 February 2010
• 2010 Fall ECE 438 Boutin
  *[[Midterm1 statistics ECE438F10|Midterm 1 statistics]]
  9 KB (1,221 words) - 11:00, 22 December 2014
• Midterm1 statistics ECE438F10
  = Midterm 1 Statistics=
  766 B (105 words) - 05:01, 15 October 2010
• Decision Theory Glossary ECE662Spring2008
  In statistics, overfitting means that some of the relationships that appear statistically ...hanging the assumed values of a set of fixed coefficients (parameters). In statistics, a parametric model is a parametrized family of probability distributions,
  31 KB (4,787 words) - 18:21, 22 October 2010
• Online Chess Game
  ...should be recorded and be available for students to access in the future. Statistics about players should also be recorded. You will be responsible for integrat ...br>Visual Chessboard <br>Saving and managing user game logs<br>Saving user statistics<br>Architecture suitable for iintegration of future games
  1 KB (238 words) - 07:19, 28 September 2011
• ECE 600 General Concepts of Stochastic Processes Definitions
  3.1.1 Statistics of Stochastic Processes
  16 KB (2,732 words) - 11:47, 30 November 2010
• Rhea Graph Analytic Tool
  ...on the same page of the wiki. The graph is displayed, along with different statistics about the graph. As the graph of author can be too big to effectively visua
  4 KB (700 words) - 06:17, 6 April 2011
• 2011 Spring ECE 301 Boutin
  **[[EXAM1 ECE301 Spring2011 Prof Boutin Statistics|Statistics]] **[[EXAM2 ECE301 Spring2011 Prof Boutin Statistics|Statistics]]
  18 KB (2,485 words) - 10:36, 11 November 2011
• Lecture20ECE301S11
  ...xams and discussed the [[EXAM1 ECE301 Spring2011 Prof Boutin Statistics‎|statistics]] and gradelines. We then went over the solution of the test. Get ready for [[EXAM1 ECE301 Spring2011 Prof Boutin Statistics‎|Grade statistics for the first midterm]]
  928 B (123 words) - 14:12, 28 February 2011
• EXAM1 ECE301 Spring2011 Prof Boutin Statistics
  == Midterm 1 Statistics, [[2011 Spring ECE 301 Boutin|ECE301 Spring 2011 Prof. Boutin]] == = Statistics =
  371 B (36 words) - 19:51, 24 February 2011
• EXAM2 ECE301 Spring2011 Prof Boutin Statistics
  == Midterm 1 Statistics, [[2011 Spring ECE 301 Boutin|ECE301 Spring 2011 Prof. Boutin]] == = Statistics =
  420 B (41 words) - 15:50, 7 April 2011
• Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) OldKiwi
  ...ametric models are usually dependent on the size of the dataset (e.g. more statistics for larger datasets)
  13 KB (2,098 words) - 11:21, 10 June 2013
• Parametric Estimators OldKiwi
  ...estimator is probably the most important parameter estimator in classical statistics. The reason is that the MLE estimator is asymptotically efficient. That is
  6 KB (976 words) - 13:25, 8 March 2012
• Hw3 ECE662 S12
  Can you give some extra statistics on the results of the class e.g, frequency distribution of three-types of s
  25 KB (2,524 words) - 07:19, 25 June 2012
• 2013 Spring ECE 302 Boutin
  Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto L
  10 KB (1,422 words) - 20:14, 30 April 2013
• LectureScheduleECE302Spring13 Boutin
  :Chapter 4 of [http://cnx.org/content/col10522/latest Collaborative Statistics] by Illowski and Dean (available online)
  4 KB (498 words) - 10:18, 17 April 2013
• HW1 ECE302 S13 Boutin
  All problems are from: Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto L
  2 KB (253 words) - 10:33, 25 January 2013
• HW2 ECE302 S13 Boutin
  *Problem 2.62 from the textbook: Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto L
  3 KB (542 words) - 10:52, 29 January 2013
• Hw2 discussion sln ECE302 S13 Boutin
  *Problem 2.62 from the textbook: Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto L
  1 KB (161 words) - 06:23, 31 January 2013
• Bayes theorem S13
  * Alberto Leon-Garcia, ''Probability, Statistics, and Random Processes for Electrical Engineering,'' Third Edition
  4 KB (649 words) - 13:08, 25 November 2013
• Bayes theorem eg1 S13
  ...been adapted from a few practice problems from chapter 2 of ''Probability, Statistics and Random Processes for Electrical Engineers'' by Alberto Leon-Garcia. The * Alberto Leon-Garcia, ''Probability, Statistics, and Random Processes for Electrical Engineering,'' Third Edition
  4 KB (592 words) - 13:09, 25 November 2013
• Illustration of The Bayesian Decision Theory
  ...t name as the feature to classify the students. We also have the following statistics available to us.
  3 KB (415 words) - 18:34, 22 March 2013
• Lecture35 blog ECE302S13 Boutin
  In Lecture 35, we looked at the first and second order statistics of a sum process in general. There was also a quiz where we re-emphasized h
  2 KB (330 words) - 06:16, 9 April 2013
• ORAU-2014
  Statistics; Safety and Health; Accounting and Finance; Law; Communications; and other
  2 KB (240 words) - 08:20, 16 January 2014
• 2014 Spring ECE 662 Boutin
  *Slectures on Probability and Statistics
  10 KB (1,450 words) - 20:50, 2 May 2016
• MAXIMA-2014-Summer-REU
  College Department of Mathematics, Statistics, and Computer Science (MSCS)
  1 KB (195 words) - 08:18, 16 January 2014
• Walther375Spring2014 Markov chains: what and how?
  ...4th edition <br>- Michael J. Evans, Jeffery S. Rosenthal, Probability and Statistics: The Science of Uncertainty, 2nd edition <br>- Stephen H. Friedberg, Arnold
  19 KB (3,004 words) - 09:39, 23 April 2014
• SlectureKeehwanECE662Spring14
  ...of MLE: consistency, asymptotic normality. Fisher information]," "18-443: Statistics for Applications," MIT, Fall 2006.
  3 KB (427 words) - 10:50, 22 January 2015
• 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