Hierarchical Linear Mixed Model for Poverty Analysis in Indonesia

Rachmawati, Ro’fah Nur; Pusponegoro, Novi Hidayat

doi:10.1016/j.procs.2017.10.027

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, although the unstructured covariance acceptably describes the data, the large number of parameters needed to estimate makes it an inappropriate model, so alternative covariance structures should be investigated. For example, in some studies conducted comparing six covariance structures (10 measurement occasions), the unstructured estimated 55 parameters, while the first‐order heterogeneous auto‐regressive only needed 11, the latter being the best alternative (Rachmawati & Pusponegoro, 2017).…”

Section: Resultsmentioning

confidence: 99%

Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures

Velasco‐Bautista¹,

Sánchez²,

Flores-Ayala³

2022

Environmetrics

View full text Add to dashboard Cite

Repeated measures refer to multiple observations obtained in the same sampling plot or experimental unit. Such observations can be taken in a particular period and the same local space in many cases. In either case, repeated measures lead to correlated data. Statistical analysis using correlated data without an appropriate covariance structure would lead to Type I or Type II errors. This study used rainfall interception data from a coniferous forest in Mexico, May to September 2010, to develop a multi‐level linear model by assessing different covariance structures. Our main objectives were to evaluate the implications of these covariance structures in tests of fixed effects over categories of basal area and estimate differences between means and standard errors of each test. Based on the numerical inspection of the estimated correlations, their graphic representation, values of the statistics of fit (AICC and BIC) and considering that it is desirable to model a covariance structure in a parsimonious way, we concluded that the best selection for the structure of covariance was “heterogeneous Toeplitz.” Therefore, F$$ F $$‐values of fixed effects and the estimates of differences between means and standard errors of each test based on the “heterogeneous Toeplitz” covariance structure were considered the most appropriate among the analyzed covariance models.

show abstract

Section: Resultsmentioning

confidence: 99%

Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures

Velasco‐Bautista¹,

Sánchez²,

Flores-Ayala³

2022

Environmetrics

View full text Add to dashboard Cite

show abstract

“…This software is recognized as one of the leaders in statistical analysis and as a powerful tool for database systems. The main reason why SAS was selected among other software packages was that it includes several optimization tools for a wide range of operations research problems (Semeida 2014;Catal et al 2015;Ding et al 2016;Pusponegoro et al 2017;Rachmawati et al 2017;Wang et al 2017). Besides, a macro was designed in VBA language to calculate the distance between nodes using the Google Maps web mapping system.…”

Section: Methodsmentioning

confidence: 99%

A MILP facility location model with distance value adjustments for demand fulfillment using Google Maps

Palomino¹,

García²,

Berdugo³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

In this manuscript, a facility location model was designed to support logistics operations, considering service distance limitations for demand fulfillment and a list of candidate locations within a supply chain. Consequently, an allocation model was designed using Mixed-Integer Linear Programming (MILP), in which a finite number of demand nodes could be satisfied by a set of supply nodes, considering not only the costs related to these locations but also restrictions aimed at improving the level of service based on distance. Besides, an integrated solution scheme was proposed that includes a macro in VBA language that calculates the distance between nodes using the web mapping service developed by Google Maps and solving the model through a branch and cut algorithm. Subsequently, a case study was executed where the supply operation of an important Colombian retail company is analyzed. The results reflected positive effects not only on costs but also on the prioritization of average distance traveled and on the satisfaction of store demand by distribution centers. Thus, the conditions in which the implementation of this model provides strategic benefits were verified, functioning as a tool to support decision making.

show abstract

“…The lack of women's participation itself has been a significant issue to be addressed. In addition, the lack of women's role in development over a long time has also diminished their ability to contribute to the society's development (Rachmawati & Pusponegoro, 2017). The existence of violence, customary regulations, the unfulfillment of indigenous Papuan women's rights has also become an issue that obstructs the success of economic development in Papua (Sopaheluwakan et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

The Empowerment of Indigenous Papuan Women Through Home-Based Industries: A Case Study in Papua, Indonesia

Merina,

Sholahuddin,

Sukowati

2023

Acad. J. Interdiscip. Stud.

View full text Add to dashboard Cite

The importance of women's empowerment in poverty alleviation programs in eastern Indonesia became the main objective of the research. This research aims to identify the approaches to empowering indigenous Papuan women in Yoboy Village, Jayapura. In addition, this research aims to find out the supporting and inhibiting factors in this empowerment. Indigenous Papuan women are a group of indigenous peoples from Indonesia. Several factors diminish the role of women in Jayapura, such as poverty, domestic violence, and the difficulty of self-reliance. Yoboy village has limited options for economic facilities. Therefore, this research conducted Andrew Barlette's Empowerment Theory as an analysis tool. The data collection techniques in this qualitative research were conducted by observation, interview and documentation. Three entry points must be completed to optimize empowerment in poor communities. This research indicated that the empowerment of indigenous Papuan women is also applied through participation, self-reliance, and partnership techniques. The creativity and self-confidence of indigenous Papuan women have made these empowerment programs successful. However, business capital, lack of concern, and cooperation among indigenous Papuan women have become inhibiting factors in empowerment. Therefore, the empowerment of indigenous Papuan women still requires developing and strengthening various programs. The participation of partnerships is one of the important keys to this development. Received: 5 July 2023 / Accepted: 24 August 2023 / Published: 5 September 2023

show abstract

Hierarchical Linear Mixed Model for Poverty Analysis in Indonesia

Cited by 3 publications

References 10 publications

Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures

Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures

A MILP facility location model with distance value adjustments for demand fulfillment using Google Maps

The Empowerment of Indigenous Papuan Women Through Home-Based Industries: A Case Study in Papua, Indonesia

Contact Info

Product

Resources

About