house made 6oz certified angus beef burger with side caesar salad and hand cut french fries. (all burgers dressed with l
NY cheesecake spiced with cinnamon and brown sugar and topped with caramel. FOUR LAYER CHOCOLATE CAKE four layers of dec
Designed for key management or hard- to-fill positions, this turnkey package fully
implements the Tiger Eye Hiring. Process. In-depth candidate evaluation.
Changing room for the morning of the wedding ... Prices are correct at the time of going to print, but the hotel reserve
Table 3- Fees structure per accreditation type and category . ..... CESA Accreditation Application Guidelines, version 2017.2 - Page 5. The following Application .... Companies working in renewable energy licensing from EMRC (if applicable).
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Description Five omnibus tests for the composite hypothesis of normality ... for
performing the Shapiro-Wilk test for normality. cvm.test, lillie.test, pearson.test,.
For the case of equal variances and balanced sample sizes for the treatment
groups, the single-step procedure of Bofinger and Bofinger (1995) can be chosen
.
Feb 3, 2014 ... The option value as well as the common first derivatives ("Greeks") are returned.
... Sensitivity of the option delta for a change in the underlying.
May 9, 2017 - Package 'devRate'. May 9 ... The package comprises a set of models and estimated parameters ...... of the nls function from package stats.
Feb 12, 2014 ... written to a separate named worksheet in the Excel spreadsheet. The worksheet
... TRUE if Perl and ALL required modules are found. Note.
December 18, 2013. Version 0.3-0. Date 2013-12-17. Title A package of
functions for computing wavelet filters, wavelet transforms and multiresolution
analyses.
Oct 22, 2013 ... ML estimation of exponential duration model: ... all.equal( bread( a ), vcov( a ) *
nObs( a ) ) ..... summary(ml) # result should be close to c(0,1).
Mar 30, 2016 - Computational Statistics & Data Analysis. Lachos ... Data on 102 male and 100 female athletes collected at the Australian Institute of Sport.
Package ‘FMsmsnReg’ March 30, 2016 Type Package Title Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors Version 1.0 Date 2016-03-29 Author Luis Benites Sanchez and Rocio Paola Maehara and Victor Hugo Lachos Maintainer Luis Benites Sanchez Imports mvtnorm Description Fit linear regression models where the random errors follow a finite mixture of of Skew HeavyTailed Errors. License GPL (>= 2) Repository CRAN NeedsCompilation no Date/Publication 2016-03-30 08:14:20
Linear Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors
Description This package contains a principal function that performs to estimate the parameters of a regression model considering an error that follows a finite mixture of Skew Heavy-Tailed Errors, using an analytically simple and efficient EM-type algorithm for iteratively computing maximum likelihood estimates of the parameters. Details Package: Type: Version: Date: License:
FMsmsnsReg Package 1.0 2016-03-30 GPL (>=2)
Author(s) Luis Benites Sanchez , Rocio Paola Maehara and Victor Hugo Lachos References Basso, R. M., Lachos, V. H., Cabral, C. R., Ghosh, P., 2010. Robust mixture modeling based on scale mixtures of skew - normal distributions. Computational Statistics & Data Analysis. Lachos, V. H., Ghosh, P., Arellano-Valle, R. B., 2010. Likelihood based inference for skew-normal independent linear mixed models. Statistica Sinica 20, 303 - 322. See Also FMsmsnReg Examples #See examples for the FMsmsnReg function linked above.
ais
3
ais
Australian institute of sport data
Description Data on 102 male and 100 female athletes collected at the Australian Institute of Sport. Format This data frame contains the following columns: Sex (0 = male or 1 = female) Ht height (cm) Wt weight (kg) LBM lean body mass RCC red cell count WCC white cell count Hc Hematocrit Hg Hemoglobin Ferr plasma ferritin concentration BMI body mass index, weight/height^2 SSF sum of skin folds Bfat Percent body fat Label Case Labels Sport Sport References S. Weisberg (2005). Applied Linear Regression, 3rd edition. New York: Wiley, Section 6.4 Examples ##Load the data library(FMsmsnReg) data(ais) attach(ais) #Set the response y and covariate x x1
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