In this paper, we generalize the scheme proposed by Ermakov and Kalitkin present a class of two-parameter fourth-order optimal methods, which call Ermakov’s Hyperfamily. It is substantial improvement classical Newton’s method because it optimizes one that extends regions convergence very stable. Another novelty containing as particular cases some such King’s family. From class, generate new uni...

BACKGROUND AND PURPOSE The multiparametric imaging can show us different aspects of tumor behavior and may help differentiation of tumor recurrence from treatment related change. Our aim was to differentiate tumor progression from pseudoprogression in patients with glioblastoma by using multiparametric histogram analysis of 2 consecutive MR imaging studies with relative cerebral blood volume an...

BACKGROUND Identification of serum and bronchoalveolar lavage fluid (BALF) biomarkers may facilitate diagnosis and prognostication in various lung disorders. OBJECTIVE Serum and BALF levels of surfactant protein A (SP-A), surfactant protein D (SP-D), Clara cell protein 16 (CC16), S100 protein, trefoil factor 3 (TFF3), and prostatic secretory protein 94 (PSP94) were evaluated in 94 consecutive...

We compute the loss of power in likelihood ratio tests when we test the original parameter of a probability density extended by the first Lehmann alternative. 1 Distributions Generated by Lehmann Alternatives In the context of parametric models for lifetime data, [Gupta et alii 1998] disseminated the study of distributions generated by Lehmann alternatives, cumulative distributions that take on...

uniparametric, non-parametric methods and ammi model (additive main effects and multiplicative interaction) were used to evaluate the yield stability of ten cotton cultivars at six regions of golestan and mazandaran provinces (baye kola, gharakheil, kalaleh, khan bebein, karkandeh, hashem abad) during two successive years ( 2005 & 2006). the experiment was conducted in randomized complete block...