Aqueous extracts from various plant parts of fenugreek(3%)(aerial parts:leaves and stems(LS),roots(R),ground seeds(GS)and not ground seeds(NGS))and petroleum ether,ethyl acetate and methanolic fractions of the aerial ...Aqueous extracts from various plant parts of fenugreek(3%)(aerial parts:leaves and stems(LS),roots(R),ground seeds(GS)and not ground seeds(NGS))and petroleum ether,ethyl acetate and methanolic fractions of the aerial parts were assayed to determine their antifungal potential against Botrytis cinerea,Fusarium graminearum,Alternaria sp.,Pythium aphanidermatum,and Rhizoctinia solani.All fenugreek plant parts showed antifungal potential and the magnitude of their inhibitory effects was species and plant parts d...展开更多
The Current Population Survey(CPS)is a monthly household sample survey with a sample consisting of eight rotation groups.Sampled individuals of a rotation group are interviewed four consecutive months and another four...The Current Population Survey(CPS)is a monthly household sample survey with a sample consisting of eight rotation groups.Sampled individuals of a rotation group are interviewed four consecutive months and another four consecutive months after resting eight consecutive months.A composite-type estimator is adopted in the CPS for the estimation of the monthly population total,which combines sample information from the current month’s survey and previous months using the fact that 75%households have data for two consecutive months.There are two values,A and K,in the composite estimator to decide how to combine the available information,and thus this estimator is called the AK composite estimator.In this paper,we use a formula of the meansquared error of AK composite estimator and propose an easy-to-use method of choosing A and K based on data,which evolves the estimation of some population quantities using the method of moments and replication.Some numerical studies are conducted to illustrate the effectiveness of the proposed method.展开更多
General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process.The prediction gains over linear predictors are examined numerically,demonstr...General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process.The prediction gains over linear predictors are examined numerically,demonstrating the improvement of nonlinear prediction.展开更多
文摘Aqueous extracts from various plant parts of fenugreek(3%)(aerial parts:leaves and stems(LS),roots(R),ground seeds(GS)and not ground seeds(NGS))and petroleum ether,ethyl acetate and methanolic fractions of the aerial parts were assayed to determine their antifungal potential against Botrytis cinerea,Fusarium graminearum,Alternaria sp.,Pythium aphanidermatum,and Rhizoctinia solani.All fenugreek plant parts showed antifungal potential and the magnitude of their inhibitory effects was species and plant parts d...
基金The research of the first two authors were supported by the U.S.Census Bureau Prime Contract No:YA1323-09-CQ-0054The research of the second author was also partially supported by an NSF grants DMS-1305474 and DMS-1612873.
文摘The Current Population Survey(CPS)is a monthly household sample survey with a sample consisting of eight rotation groups.Sampled individuals of a rotation group are interviewed four consecutive months and another four consecutive months after resting eight consecutive months.A composite-type estimator is adopted in the CPS for the estimation of the monthly population total,which combines sample information from the current month’s survey and previous months using the fact that 75%households have data for two consecutive months.There are two values,A and K,in the composite estimator to decide how to combine the available information,and thus this estimator is called the AK composite estimator.In this paper,we use a formula of the meansquared error of AK composite estimator and propose an easy-to-use method of choosing A and K based on data,which evolves the estimation of some population quantities using the method of moments and replication.Some numerical studies are conducted to illustrate the effectiveness of the proposed method.
文摘General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process.The prediction gains over linear predictors are examined numerically,demonstrating the improvement of nonlinear prediction.
