نتایج جستجو برای: break point set
تعداد نتایج: 1153240 فیلتر نتایج به سال:
This study proposes a point estimator of the break location for one-time structural in linear regression models. If magnitude is small, least-squares date has two modes at ends finite sample period, regardless true location. To solve this problem, I suggest an alternative based on modification objective function. The modified function incorporates estimation uncertainty that varies across poten...
This study aims to analyze the income and break-even point of broiler farming in OKU Regency. The research method used is a survey sampling saturated with total sample 8 breeders spread across Lubuk Raja District Batang District, District. was carried out from February May 2022. data processed using mathematical equation calculate business Regency, then business, it analyzed BEP analysis. resul...
in this paper, tripled coincidence points of mappings satisfying -contractive conditions in the framework of partially ordered gb-metric spaces are obtained. our results extend the results of aydi et al. [h. aydi, e. karapnar and w. shatanawi, tripled xed point results in generalized metric space, j. applied math., volume 2012, article id 314279, 10 pages]. moreover, some examples of the mai...
in this paper, we prove a common fixed point theorem for six mappings (two set valued and four single valued mappings) without assuming compatibility and continuity of any mapping on non complete metric spaces. to prove the theorem, we use a non compatible condition, that is, weak commutativity of type (kb). we show that completeness of the whole space is not necessary for the existence and uni...
Abstract Rather than relying on a potentially poor point estimate of coefficient break date when forecasting, this paper proposes averaging forecasts over sub-samples indicated by confidence interval or set for the date. Further, we examine whether explicit consideration possible variance and use two-step methodology improves forecast accuracy compared with using heteroskedasticity robust infer...
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