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In both models, the following variables recorded at 11 years of age were assessed: Gender, age at follow-up, height, weight, atopy, current asthma, ln DRS, FEV1%, FEF25 75%, use of inhaled steroids the preceding 12 months and previous hospitalization for bronchiolitis in infancy.
If these scores are treated as continuous variables, as in standard GS linear models, the following assumptions do not hold: (1) the relationship between genomic data and phenotypes is linear; (2) phenotypes follow a normal distribution; and (3) the variance is constant and not a function of the expected value.
To construct these models the following sources of topographic information were used: "Clementine" and "KАGUYА" (Selena, Japan mission) missions, "KSC-1162" (Kazan selenocentric catalogue), "Kiev" (selenodesic catalogue), "SAI" (Chuikova (1975)), "Bills, Ferrari", "ULCN" (The Unified Lunar Control Network 2005).
To indicate the performance of the models, the following statistical test methods are used: the coefficient of determination (R2), mean bias error (MBE), mean absolute bias error (MABE), mean percent error (MPE), mean absolute percent error (MAPE), root mean square error (RMSE) and the t-statistic method (tsta).
To assess the performance of ANFIS models the following statistical indices were adopted.
Hence, if a comparison is made between Eq. (11) and other models, the following conclusions are drawn.
Similar(26)
Among five kinds of rat adhesion models tested, the following model was selected.
In deriving the model, the following assumptions were made.
To solve the TAZD model, the following works have been done.
Before introducing the new model, the following preconditions are given.
To develop the proposed model, the following parameters are used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com