Results 21 to 30 of about 3,511 (69)

Sequential-choice Random Allocation: An Efficient Process for Matching Students to Mentorships, Job Shadowing and Other Short-Term Experiential Opportunities

Journal for Advancement of Marketing Education, 2021
## Purpose of the Study Resource allocation is more than the matching of two objects, but a systematic and efficient pairing process. Some experiential learning activities, like job-shadow assignments may create matching problems that can be solved with
Amit Poddar, Aaron Johnson, M. Judi Billups   +2 more
doaj   +1 more source

Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach. [PDF]

PLoS ONE, 2016
We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size ...
Yousaf Shad Muhammad, Ijaz Hussain, Alaa Mohamd Shoukry   +2 more
doaj   +1 more source

Assessing Multi-Temporal Global Urban Land-Cover Products Using Spatio-Temporal Stratified Sampling

ISPRS International Journal of Geo-Information, 2022
In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications.
Yali Gong, Huan Xie, Yanmin Jin, Xiaohua Tong   +3 more
doaj   +1 more source

Politization of Local Government Budget Allocations in 2017 Election

Jurnal ASET (Akuntansi Riset), 2020
This paper discusses about the election of regional heads to the regional government budget allocation. This study discusses the regional budget in the period before local election and during the local election.
Mega Wahyu Widawati, Ari Kuncara Widagdo
doaj   +1 more source

Optimum Allocation in Stratieied Samples for a Multivariate Survey [PDF]

The Egyptian Statistical Journal, 1979
The optimum allocation of sample sizes for one character has been thoroughly discussed in almost all types of sampling procedures, like stratified, Multistage, Double sampling etc.
Zahid Mahmood, Masoodul Haq
doaj   +1 more source

Anticlustering for sample allocation to minimize batch effects

Cell Reports: Methods
Summary: High-throughput sequencing enables efficient processing of DNA and RNA samples in batches, but batch effects can obscure true biological signal.
Martin Papenberg, Cheng Wang, Maïgane Diop, Syed Hassan Bukhari, Boris Oskotsky, Brittany R. Davidson, Kim Chi Vo, Binya Liu, Juan C. Irwin, Alexis J. Combes, Brice Gaudilliere, Jingjing Li, David K. Stevenson, Gunnar W. Klau, Linda C. Giudice, Marina Sirota, Tomiko T. Oskotsky   +16 more
doaj   +1 more source

Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis

FinTech
This research paper explores the complicated connection between uncertainty and the Markowitz asset allocation framework, specifically investigating how mistakes in estimating parameters significantly impact the performance of strategies during out-of ...
Vijaya Krishna Kanaparthi
doaj   +1 more source

Financial characteristics, human development index, and performance: a study of local governments in Indonesia

Jurnal Akuntansi dan Auditing Indonesia, 2018
This study aims to examine whether the financial characteristics and human development index (HDI) are associated with the performance of local governments administration in Indonesia. The sample consists of 385 local governments classifying expenditures
Dany Adi Saputra, Lina Nur Ardila, Purnama Siddi, Bambang Sutopo   +3 more
doaj   +1 more source

Topic Classification of Central Bank Monetary Policy Statements: Evidence from Latent Dirichlet Allocation in Lesotho

Acta Universitatis Sapientiae: Economics and Business, 2022
This article develops a baseline on how to analyse the statements of monetary policy from Lesotho’s Central Bank using a method of topic classification that utilizes a machine learning algorithm known as Latent Dirichlet Allocation.
Damane Moeti
doaj   +1 more source

Density Peaks Clustering Based on Candidate Center and Multi Assignment Policies

IEEE Access, 2023
Density peak clustering (DPC) the center selection ignores the environment of samples, which can easily result in the incorrect identification of cluster centers.
Yanli Shi, Luyao Bai
doaj   +1 more source