Improvement in estimating the population mean in simple random sampling

Kadılar, Cem; Çıngı, Hülya

doi:10.1016/j.aml.2005.02.039

Cited by 88 publications

(42 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With simple random sampling procedure, the sample means were unbiased estimators of the population means (Kirk, 2011). The procedures of carrying out simple random sampling were adopted from Kadilar and Cingi (2006). The sample size of selected farmers from each sub-county was 100 respondents.…”

Section: Socio-economic Data Collectionmentioning

confidence: 99%

Determinants of agroforestry adoption as an adaptation means to drought among smallholder farmers in Nakasongola District, Central Uganda

Mfitumukiza¹,

Barasa²,

Ingrid³

2017

Afr. J. Agric. Res.

View full text Add to dashboard Cite

Agroforestry adoption as a drought adaptation option has an omnibus of opportunities for smallholder farmers in semi-arid regions. This study assessed the severity and frequency of drought and the determinants of agroforestry adoption in Nakasongola District. The episodes were examined using the Standardised Precipitation Index (SPI) set at 3, 6 and 12 months timescales. A cross-sectional survey using semi-structured questionnaires, focus group discussions and key informants were adopted. A total of 200 farmers were randomly selected and studied. The adoption was determined using a binary logistic regression. The SPI results showed that the extreme drought years recorded were 1980, 1984, 1986, 1990, 1995, 1999 The average return period of severe droughts was 4 years. The levels of agroforestry uptake were higher (85%) between July and June drought period. Agrisilviculture, agrosilvopastoral, silvopastoral and apiculture were the most adopted agroforestry systems by the farmers. The household age, level of education and income were the major significant determinants of agroforestry adoption (p<0.05) in adaptation to drought by the smallholder farmers. The potential benefits of agroforestry adoption included the provision of food, fodder, erosion control and soil fertility enrichment, however, the farmers were mainly constrained by inadequate funds, shortage of tree planting stock, limited extension services and information on agroforestry production. Thus, carrying out massive awareness campaigns on agroforestry practices is more likely to increase the uptake.

show abstract

Section: Socio-economic Data Collectionmentioning

confidence: 99%

Determinants of agroforestry adoption as an adaptation means to drought among smallholder farmers in Nakasongola District, Central Uganda

Mfitumukiza¹,

Barasa²,

Ingrid³

2017

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…Following Kadilar and Cingi (2006b), a modified estimator combining estimators t * 1 and t * i ; (i = 2, 3, . .…”

Section: Modified Estimatorsmentioning

confidence: 99%

Improved Exponential Estimator for Estimating the Population Mean in the Presence of Non-Response

Kumar¹

2013

Communications for Statistical Applications and Methods

View full text Add to dashboard Cite

This paper defines an improvement for estimating the population mean of a study variable using auxiliary information and known values of certain population parameter(s), when there is a non-response in a study as well as on auxiliary variables. Under a simple random sampling without a replacement (SRSWOR) scheme, the mean square error (MSE) of all proposed estimators are obtained and compared with each other. Numerical illustration is also given.

show abstract

“…Isaki [1] presented the ratio estimator for the population variance using the auxiliary information. The problem of estimating the population variance using information on single auxiliary variable has also been discussed by various authors including Prasad and Singh [2,3], Biradar and Singh [4], Rueda Garcia and Arcos Cebrian [5], Arcos et al [6], Kadilar and Cingi [7], and Singh et al [8].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Chain Ratio-Type Estimator of Finite Population Variance

Olufadi¹,

Kadılar²

2014

Journal of Probability and Statistics

Self Cite

View full text Add to dashboard Cite

We suggest an estimator using two auxiliary variables for the estimation of the unknown population variance. The bias and the mean square error of the proposed estimator are obtained to the first order of approximations. In addition, the problem is extended to two-phase sampling scheme. After theoretical comparisons, as an illustration, a numerical comparison is carried out to examine the performance of the suggested estimator with several estimators.

show abstract

Improvement in estimating the population mean in simple random sampling

Cited by 88 publications

References 6 publications

Determinants of agroforestry adoption as an adaptation means to drought among smallholder farmers in Nakasongola District, Central Uganda

Determinants of agroforestry adoption as an adaptation means to drought among smallholder farmers in Nakasongola District, Central Uganda

Improved Exponential Estimator for Estimating the Population Mean in the Presence of Non-Response

A Study on the Chain Ratio-Type Estimator of Finite Population Variance

Contact Info

Product

Resources

About