A Unified Approach for Defining Optimal Multivariate and Multi-Domains Sampling Designs

Falorsi, Piero Demetrio; Righi, Paolo

doi:10.1007/978-3-319-27274-0_13

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…FAO recommends using the Generalized Weight Share Method (GWSM) [21], proposed in [22], when dealing with multiplicities between holdings and households.…”

Section: Estimation Issue With Different Observation Unitsmentioning

confidence: 99%

Integrated sampling design for agricultural and socio-economic households surveys: Overview and application in Uganda Harmonized Integrated Survey

Bako¹,

D’Orazio

Missiroli

et al. 2022

SJI

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The 50x2030 Initiative proposes an integrated modular agricultural and rural survey program that promotes the integration of traditional socio-economic household surveys and agricultural surveys in beneficiary countries. An integrated sampling design is proposed to ensure that the integrated survey fulfils the measurement objectives of the traditional surveys in a cost-effective way. This paper will present an overview of the key technical features of the proposed integrated sampling procedures including the development of sampling frames, stratification criteria, sampling size calculations, estimation procedures and sampling approaches over time. The operational procedures will be highlighted through a presentation of an application of the methodology in the Uganda Harmonized Integrated Survey.

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“…FAO recommends using the Generalized Weight Share Method (GWSM) [21], proposed in [22], when dealing with multiplicities between holdings and households.…”

Section: Estimation Issue With Different Observation Unitsmentioning

confidence: 99%

Integrated sampling design for agricultural and socio-economic households surveys: Overview and application in Uganda Harmonized Integrated Survey

Bako¹,

D’Orazio

Missiroli

et al. 2022

SJI

View full text Add to dashboard Cite

show abstract

“…[20] has described the conditions that can be achieved on the auxiliary variables and on the inclusion probabilities to obtain an exactly balanced sample. [21] have proposed a sample balancing method in multi-way stratification layout and employed it to find sample sizes for domains which belong to different sub-populations. Several versions of the model-based estimators have been found utilizing the model relationship between the variable of interest and the predictors [see [22] , [23] , [24] , [25] , [26] and [27] ].…”

Section: Introductionmentioning

confidence: 99%

Adjustment of model misspecification in estimation of population total under ranked set sampling through balancing

Ahmed,

Shabbir,

Alshanbari

et al. 2024

Heliyon

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“…[26] developed the cube method for the selection of approximately balanced samples based on equal or unequal inclusion probabilities with a number of auxiliary variables. [27] developed a balanced sampling strategy in multi-way stratification settings for small area estimation and used it to obtain planned sample size for domains belonging to different partitions of the population (small areas). The strategy lowers the sampling errors of domain estimates and provided threshold values.…”

Section: Introductionmentioning

confidence: 99%

A Novel Basis Function Approach to Finite Population Parameter Estimation

Ahmed

Shabbir

2021

Scientia Iranica

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Modeling non-linear data is a common practice in data science and machine learning (ML). It is aberrant to get a natural process whose outcome varies linearly with the values of input variable(s). A robust and easy methodology is needed for accurately and quickly fitting a sampled data set with a set of covariates assuming that the sampled data could be a complicated non-linear function. A novel approach for estimation of finite population parameter τ , a linear combination of the population values is considered, in this article, under superpopulation setting with known basis functions regression (BFR) models. The problems of subsets selection with single predictor under an automatic matrix approach, and ill-conditioned regression models are discussed. Prediction error variance of the proposed estimator is estimated under widely used feature selection criteria in ML. Finally, the expected squared prediction error (ESPE) of the proposed estimator and the expectation of estimated error variance under bootstrapping as well as simulation study with different regularizers are obtained to observe the long-run behavior of the proposed estimator.

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A Unified Approach for Defining Optimal Multivariate and Multi-Domains Sampling Designs

Cited by 6 publications

References 5 publications

Integrated sampling design for agricultural and socio-economic households surveys: Overview and application in Uganda Harmonized Integrated Survey

Integrated sampling design for agricultural and socio-economic households surveys: Overview and application in Uganda Harmonized Integrated Survey

Adjustment of model misspecification in estimation of population total under ranked set sampling through balancing

A Novel Basis Function Approach to Finite Population Parameter Estimation

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