In this paper we show that a log-convex function satisfies Hadamard's inequality, as well as we give an extension for this result in several directions.
The paper introduces a method to get three-dimensional reproduction of log shape by adopting Spline Function in fitting the curve of the finite log data. The method has ad-vantages of higher accuracy, less acquired da...The paper introduces a method to get three-dimensional reproduction of log shape by adopting Spline Function in fitting the curve of the finite log data. The method has ad-vantages of higher accuracy, less acquired data, easier to use, etc. Making use of high-precision drawing function of computer, the graphs of log geometric shape in different visual angles can be achieved easily with this method. It also provided a firm foundation for the determination of optimum saw cutting scheme.展开更多
The aim of this paper is to present generalized log-Lindely (GLL) distribution, as a new model, and find doubly truncated generalized log-Lindely (DTGLL) distribution, truncation in probability distributions may occur...The aim of this paper is to present generalized log-Lindely (GLL) distribution, as a new model, and find doubly truncated generalized log-Lindely (DTGLL) distribution, truncation in probability distributions may occur in many studies such as life testing, and reliability. We illustrate the applicability of GLL and DTGLL distributions by Real data application. The GLL distribution can handle the risk rate functions in the form of panich and increase. This property makes GLL useful in survival analysis. Various statistical and reliability measures are obtained for the model, including hazard rate function, moments, moment generating function, mean and variance, quantiles function, Skewness and kurtosis, mean deviations, mean inactivity time and strong mean inactivity time. The estimation of model parameters is justified by the maximum Likelihood method. An application to real data shows that DTGLL distribution can provide better suitability than GLL and some other known distributions.展开更多
Γ(x):=integral fromn=0 to ∞(e^(-t)t^(x-1)dt),x>0为gamma函数。设f(x):=logΓ(x)+logΓ(1-x),x∈Q(0,12]。证明如果存在有理数y0∈Q(0,12],使得f(y0)=logΓ(y0)+logΓ(1-y0)∈Q,则集合{eαπ|α∈珚Q}中恰好有一个代数数,即e-f(...Γ(x):=integral fromn=0 to ∞(e^(-t)t^(x-1)dt),x>0为gamma函数。设f(x):=logΓ(x)+logΓ(1-x),x∈Q(0,12]。证明如果存在有理数y0∈Q(0,12],使得f(y0)=logΓ(y0)+logΓ(1-y0)∈Q,则集合{eαπ|α∈珚Q}中恰好有一个代数数,即e-f(y0)π,且e-f(y0)π=sinπy0。展开更多
文摘In this paper we show that a log-convex function satisfies Hadamard's inequality, as well as we give an extension for this result in several directions.
文摘The paper introduces a method to get three-dimensional reproduction of log shape by adopting Spline Function in fitting the curve of the finite log data. The method has ad-vantages of higher accuracy, less acquired data, easier to use, etc. Making use of high-precision drawing function of computer, the graphs of log geometric shape in different visual angles can be achieved easily with this method. It also provided a firm foundation for the determination of optimum saw cutting scheme.
文摘The aim of this paper is to present generalized log-Lindely (GLL) distribution, as a new model, and find doubly truncated generalized log-Lindely (DTGLL) distribution, truncation in probability distributions may occur in many studies such as life testing, and reliability. We illustrate the applicability of GLL and DTGLL distributions by Real data application. The GLL distribution can handle the risk rate functions in the form of panich and increase. This property makes GLL useful in survival analysis. Various statistical and reliability measures are obtained for the model, including hazard rate function, moments, moment generating function, mean and variance, quantiles function, Skewness and kurtosis, mean deviations, mean inactivity time and strong mean inactivity time. The estimation of model parameters is justified by the maximum Likelihood method. An application to real data shows that DTGLL distribution can provide better suitability than GLL and some other known distributions.
文摘Γ(x):=integral fromn=0 to ∞(e^(-t)t^(x-1)dt),x>0为gamma函数。设f(x):=logΓ(x)+logΓ(1-x),x∈Q(0,12]。证明如果存在有理数y0∈Q(0,12],使得f(y0)=logΓ(y0)+logΓ(1-y0)∈Q,则集合{eαπ|α∈珚Q}中恰好有一个代数数,即e-f(y0)π,且e-f(y0)π=sinπy0。
基金Project(cstc2020jcyj-bshX0106)supported by the Chongqing Postdoctoral Science Foundation,ChinaProject(2020M683247)supported by the China Postdoctoral Science Foundation+1 种基金Project(cstc2020jcyj-zdxmX0023)supported by the Key Natural Science Foundation Project of Chongqing,ChinaProject(551974043)supported by the National Natural Science Foundation of China。
