Variable selection procedures in linear regression models
... non-zero relevant fixed effects in the partial linear model setting This penalized h-likelihood incorporates variable selection procedures in the setting of mean modeling via h-likelihood A few advantages ... learning models in terms of obtaining higher estimation accuracy of the model In regression analysis, the linear model has been commonly used to link a response vari...
Ngày tải lên: 10/09/2015, 09:27
NON-LINEAR REGRESSION MODELS
... Multivariate models Simultaneous equations models 5.1 Non-linear 5.2 Other single equation two-stage least squares estimator 5.3 Non-linear simultaneous 5.4 Non-linear three-stage 5.5 Non-linear ... this introduction by citing general references on non-linear regression models Malinvaud (1970b) devotes one long chapter to non-linear regression models in which he discus...
Ngày tải lên: 23/10/2013, 10:15
... http://www.jiasociety.org/content/12/1/33 Table 1: Evaluation of variables that influence HIV-1 cerebrospinal fluid concentrations in cryptococcal meningitis: linear regression analysis Variable HIV-1 plasma ... correlate with a higher viral load Our study also shows that viral load in cryptococcal meningitis is higher in plasma than in CSF, althoug...
Ngày tải lên: 20/06/2014, 08:20
Báo cáo toán học: " Two-stage source tracking method using a multiple linear regression model in the expanded phase domain" pdf
... in the expanded phase domain, Ωd The proposed method is composed of two stages: the multiple linear regression model- based LSTDE at the first stage, and the RLS-based source tracking method using ... the expanded phase follows Gaussian pdf In Figure 6, the dotted-line depicts a histogram of the expanded phase and the dashed-line shows t...
Ngày tải lên: 20/06/2014, 20:20
Báo cáo sinh học: "Heterogeneous variances in Gaussian linear mixed models" pot
... model including several independent u-components (uj; j In that case, it can be shown that formula [7] is case = of a linear mixed 1, 2, , J), ie replaced by the linear system The formula in [8] ... residual variances to assess sources of heterogeneity in withinherd variances of milk and fat records in Holstein Herd size and within-herd means were associated with significant...
Ngày tải lên: 09/08/2014, 18:21
Báo cáo sinh học: " Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit" ppsx
... procedures for computing the backsolving of the MQTL- and the remaining (aTL-effects in the cases of the combined-merit AM and RAM THEORY Backsolving in the combined-merit AM Assuming a MQTL ... [13] of Saito and Iwaisaki (1997b) The BLUP of the total additive genetic merits for parent animals are then obtained by solving the following MME In the case of the...
Ngày tải lên: 09/08/2014, 18:22
Báo cáo y học: " Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC" doc
... clinical data concerning the individual patient, particularly information relating to biomarkers However, translational integration of this large amount of information into one risk assessment is a ... can hardly be repeated with distinct cohorts Whereas the predictive power of any single variable including tumour size was limited, integration of molecular information into a u...
Ngày tải lên: 13/08/2014, 16:20
Báo cáo y học: "Parameter estimation in biochemical systems models with alternating regression" docx
... easily adapts the AR algorithm by choosing different start values, slightly modifying constraints, or choosing different regressors in addition to the three types used above The probability of finding ... constraining of kinetic orders, while not essential, typically improves the speed of the search It is imaginable that a kinetic order is constrained too tightly In this case, the solutio...
Ngày tải lên: 13/08/2014, 23:20
Báo cáo sinh học: "Reducing the bias of estimates of genotype by environment interactions in random regression sire models" ppsx
... causing an increased log-likelihood, compared to HOM Using the IND sire model, constraints in the model cause the sire- variance to 0.8 Heritability Estimation of genotype by environment interactions ... breeding values obtained by the different models indicate that the ranking of animals is less affected by the choice of the model than the estimates...
Ngày tải lên: 14/08/2014, 13:21
Báo cáo sinh học: "A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep" doc
... from an excess of zeros Zero -in ated models for count data in animal breeding have been discussed by Gianola [15] and used by Rodrigues-Motta and collaborators [27] in an analysis of the number of ... right model only in 172 out of 400 comparisons (43% of the time) Poisson and ZIP models for spots in sheep 387 Table IV Mean and standard deviation (in...
Ngày tải lên: 14/08/2014, 13:22
Báo cáo sinh học: "Precision and information in linear models of genetic evaluation" ppt
... criterion concerning a linear combination of estimates The CD of a linear combination u’u will be a function of the ratio of the variance of x’u after the experiment to the variance of x’u before ... L’(Z’MZ)L have the same set of eigenvectors, since is a linear function of I and the inverse of a linear function of I and L’(Z’MZ)L The CDs can be verified to be...
Ngày tải lên: 14/08/2014, 19:22
Báo cáo sinh học: " A criterion for measuring the degree of connectedness in linear models of genetic evaluation" ppt
... incidence of an unbalanced distribution of data across the nuisance factors This change in C implies a related change in the variance covariance matrix of estimated breeding values which influences the ... connectedness in genetic evaluation with an application to Limousin and Maine Anjou sires In: 43rd Annu Meet EAAP Madrid, Spain, Sept 13-17 1992, p Henderson CR (19...
Ngày tải lên: 14/08/2014, 20:20
models for heterogeneous variable selection
... new models for performing variable selection at the individual level in discrete choice data The heterogeneous variable selection model extends current aggregate level models of Bayesian variable ... introduced for estimating the proposed variable selection models In the two empirical studies presented, a variable selection model fits the data better than baselin...
Ngày tải lên: 02/11/2014, 00:44