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Categorical distribution
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#	Item
51	distribution copy 1 distribution copy Add to Reading List Source URL: john-uebersax.com Language: English - Date: 2009-07-16 17:15:06 Categorical data Econometrics Educational psychology Latent class model Latent variable model Latent variable Polychoric correlation Item response theory Expectation–maximization algorithm Statistics Psychometrics Statistical models
52	COURSE TITLE: SC14 - New advances in the Modeling of Count Data DURATION: 1 day DATE AND TIME: Sat.25 VENUE: IBGE – National School of Statistical Sciences – ENCE REGISTRATION FEE: Developed Country: € 180 Add to Reading List Source URL: www.isi2015.org Language: English - Date: 2015-02-10 12:43:48 Statistical models Econometrics Actuarial science Poisson regression Count data Overdispersion Generalized linear model Negative binomial distribution Binomial regression Statistics Regression analysis Categorical data
53	ABS Teacher Resource SPREADSHEETS TAKING REAL DATA FURTHER MATHEMATICALLY Add to Reading List Source URL: abs.gov.au Language: English - Date: 2013-11-21 19:36:51 Summary statistics Social psychology Spreadsheet Frequency distribution Gender role Table Contingency table Cross tabulation Statistics Categorical data Gender
54	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Comparison of sum of two correlated gamma variables for Alouini’s model and McKay distribut Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:01:50 Normality tests Categorical data Gamma distribution Normal distribution Kolmogorov–Smirnov test Goodness of fit Variance Statistics Statistical tests Statistical methods
55	Lecture 3 : Hypothesis testing and model-fitting The dark These Add to Reading List Source URL: astronomy.swin.edu.au Language: English - Date: 2012-08-23 05:00:57 Statistical theory Hypothesis testing Goodness of fit Chi-squared distribution Chi-squared test Degrees of freedom Chi-squared Statistic Autoregressive conditional heteroskedasticity Statistics Statistical tests Categorical data
56	Lecture 3 problems 1. Consider the fit of a model to some data with ν = 30 degrees of freedom. If the minimum χ2 of the fit is (a[removed]and (b) 52.1, what is the probability (p-value) of obtaining these values of χ2 o Add to Reading List Source URL: astronomy.swin.edu.au Language: English - Date: 2012-08-19 20:34:35 Categorical data Akaike information criterion Goodness of fit Parameter Normal distribution Bayesian information criterion Structural equation modeling Statistics Model selection Regression analysis
57	Judgment and Decision Making, Vol. 6, No. 3, April 2011, pp. 211–221 Contingency inferences driven by base rates: Valid by sampling Florian Kutzner∗ Tobias Vogel† Add to Reading List Source URL: journal.sjdm.org Language: English - Date: 2011-04-30 09:35:19 Statistical dependence Data analysis Contingency table Validity Sample size determination Frequency distribution Statistical power Statistics Categorical data Psychometrics
58	g01 – Simple Calculations on Statistical Data g01eyc NAG C Library Function Document nag_prob_1_sample_ks (g01eyc) Add to Reading List Source URL: nag.com Language: English - Date: 2011-03-16 22:42:41 Probability and statistics Categorical data Normality tests Kolmogorov–Smirnov test Empirical distribution function Cumulative distribution function Goodness of fit Statistical hypothesis testing Probability distribution Statistics Statistical tests Non-parametric statistics
59	Tabel Distribusi Chi-squared.xls Add to Reading List Source URL: istiarto.staff.ugm.ac.id Language: English - Date: 2011-04-27 05:06:43 Categorical data Statistical tests Chi-squared test Statistics Chi-squared distribution Normal distribution
60	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 13:02:02 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models

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