A new method to discriminate between enzyme-kinetic models

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

A new "kinetic" method for enzyme analysis suitable for automation.

A method is proposed for automatic instrumentation of enzyme activity determinations which involve spectrophotometric measurements. The procedure utilizes a kinetic method to produce one instrumental reading that is proportional to enzyme concentration. The single spectrophotometric reading can be processed by analog or digital computation, using the known absorptivity constant of the reactant ...

A New Heuristic to Discriminate between Transient and Intermittent Faults

Effective discrimination between transient and permanent faults is a very important practical problem in (dependable) system design. A count-andthreshold mechanism named α-count, designed to discriminate between transient faults and intermittent faults in computing systems, is presented in an enhanced embodiment. It retains enough simplicity to allow exhaustive analysability through simple mode...

A Comparison between New Estimation and variable Selectiion method in Regression models by Using Simulation

In this paper some new methods whitch very recently have been introduced for parameter estimation and variable selection in regression models are reviewd. Furthermore , we simulate several models in order to evaluate the performance of these methods under diffrent situation. At last we compare the performance of these methods with that of the regular traditional variable selection methods such ...

A new method for solving fuzzy DEA models