An alternative procedure for estimating the population mean in simple random sampling

<p class="MsoNormal" style="margin: 0in 0in 0pt; text-align: justify;"><span style="font-size: 11pt;"><span style="font-family: Times New Roman;">This paper deals with the problem of estimating the finite population mean using auxiliary information in simple random sampling. Firstly we have suggested a correction to the mean squared error of the estimator proposed by Gupta and Shabbir [On improvement in estimating the population mean in simple random sampling. Jour. Appl. Statist. 35(5) (2008), pp. 559-566]. Later we have proposed a ratio type estimator and its properties are studied in simple random sampling. Numerically we have shown that the proposed class of estimators is more efficient than different known estimators including Gupta and Shabbir (2008) estimator.</span></span></p

An alternative procedure for estimating the population mean in simple random sampling

This paper deals with the problem of estimating the finite population mean using auxiliary information in simple random sampling. Firstly we have suggested a correction to the mean squared error of the estimator proposed by Gupta and Shabbir [On improvement in estimating the population mean in simple random sampling. Jour. Appl. Statist. 35(5) (2008), pp. 559-566]. Later we have proposed a ratio type estimator and its properties are studied in simple random sampling. Numerically we have shown that the proposed class of estimators is more efficient than different known estimators including Gupta and Shabbir (2008) estimator

GENERALIZED RATIO AND PRODUCT METHODS OF ESTIMATION IN SURVEY SAMPLING

This paper introduces some generalized ratio and product methods of estimation for estimating the population total Y. In addition to many Srivenkataramana and Tracy (1979) estimators are shown as members of the proposed estimators. The properties of the suggested estimators have been studied and merits are examined through numerical illustratio

ESTIMATION OF FINITE POPULATION MEAN USING RANDOM NON–RESPONSE IN SURVEY SAMPLING

This paper consider the problem of estimating the population mean under three different situations of random non&ndash;response envisaged by Singh et al (2000). Some ratio and product type estimators have been proposed and their properties are studied under an assumption that the number of sampling units on which information can not be obtained owing to random non&ndash;response follows some distribution. The suggested estimators are compared with the usual ratio and product estimators. An empirical study is carried out to show the performance of the suggested estimators over usual unbiased estimator, ratio and product estimators. A generalized version of the proposed ratio and product estimators is also given

Predictive Estimation of Finite Population Mean Using Exponential Estimators

This paper suggested the ratio-type and product-type exponential estimators of the population mean of a study variable through predictive approach using Bahl and Tuteja (1991) ratio-type and product-type exponential estimators as a predictor of the mean of the unobserved units of the population. Properties of the suggested estimators are studied up to first order of approximation in simple random sampling using information on an auxiliary variable. The theoretical conditions under which the suggested estimators are less besed and more efficient than the usual unbiased, ratio, product estimators and estimators due to Srivastava (1983) and Bahl and Tuteja (1991) have been obtained. In support of the theoretical study numerical illustration is also given and determined that the suggested estimators showed also an improvement over the classical estimators empirically

Performance of Frontline Demonstration on Productivity and Profitability of Utera Cropping of Linseed (Linum usitatissimum L.) under Rainfed Conditions in Tribal District Balaghat of Madhya Pradesh, India

The study was carried out during rabi season 2016-17 by the College of Agriculture Waraseoni (Balaghat), Madhya Pradesh to assess the yield gap between front-line demonstration (FLD) and farmer’s practice (FP) of Utera cropping of Linseed crop under rainfed condition of the Chhattisgarh plains. FLD’s were conducted in 11.20 ha with the active involvement of 28 farmers and scientific staff of the Institution. The findings of the present study revealed that the highest grain yield was obtained in demonstrated plots with an average of 7.25 q/ha as compared to local check with an average of 4.94 q/ha. The average of extension gap, technology gap and technology index was computed as 2.31q/ha, 2.75q/ha, and 27.53% respectively. The implementation of the enhanced package of practices in Linseed cultivation yielded a significantly higher average IBCR ratio (2.99) compared to traditional farmer practices during the study period, indicating the potential for increased productivity. This outcome underscores the effectiveness of adopting the recommended improved practices, ultimately satisfying the farming community by producing higher yields and returns

Front-line Demonstration: An Effective Communication Approach for Dissemination of Sustainable Rice Production Technology

During four consecutive Kharif seasons in the years 2016, 2017, 2018 and 2019, front-line demonstrations were carried out in farmer's fields by the College of Agriculture, Waraseoni (Balaghat), Madhya Pradesh in the agroclimatic zone of the Chhattisgarh plains to assess the performance of rice Hybrids / varieties JRH-5, JRH-19, JR-81 and JRB-1 (developed by Jawaharlal Nehru Agriculture University, Jabalpur) under irrigated ecosystem. Front-line demonstrations, or FLDs, were carried out using a scientific package of rice technology practices. The yield and economic data of the plots that were on display were examined, evaluated, and examined with farmer practices (MTU-1010). With only an average of Rs. 2625/ha as an additional input cost in demonstrations using enhanced production technologies in FLDs, the mean grain yield increased by 23.80% over current farmer practices.Extension gap (10.48 q/ha), Technology gap (10.26 q/h) and the technology index is 15.79%. It is concluded that wide gap existed in potential and demonstration yield in high yielding rice varieties due to technology and extension gap in Balaghat District of Madhya Pradesh.By conductingfront line demonstrations of proven technologies, yield potential of rice can be increased to a greatextent. This will substantially increase the income as well as the livelihood of the farming community

Estimation of finite population variance using auxiliary information in sample surveys

This paper addresses the problem of estimating the finite population variance using auxiliary information in sample surveys. Motivated by (Singh and Vishwakarma, 2009) some estimators of finite population variance have been suggested along with their properties in simple random sampling. The theoretical conditions under which the proposed estimators are more efficient than usual unbiased, usual ratio and (Singh et al., 2009) estimators have been obtained. Numerical illustrations are given in support of the present study

An improvement over regression method of estimation

This paper suggested a class of estimators for the population mean of the study variable using information on an auxiliary variable with its properties under large sample approximation. The asymptotic optimum estimator in the proposed class has been identified with its properties. In addition, some existing estimators have been founded members of proposed class. It has been identified theoretically that the proposed class of estimators is better than the some traditional methods of estimation. An empirical study is carried out to judge the merits of proposed class over other competitors by using two natural population data sets