Results 21 to 30 of about 8,764,462 (319)

Economic order quantity model of imperfect items using single sampling plan for attributes

open access: yesJournal of Applied Science and Engineering, 2022
In this paper, an economic order quantity (EOQ) model is proposed for imperfect items in a lot of products. A single sampling plan is considered in this model. The sample in a lot of products is chosen and inspected by attribute.
Panuwat Pimsap, Wuttichai Srisodaphol
doaj   +1 more source

Connection number structure-based information diffusion model for agricultural drought disaster risk assessment: A case study in Jianghuai watershed area

open access: yesEcological Indicators, 2023
The information diffusion model is widely used in natural disaster risk assessment because of its operationalization, low data requirements and clear significance of the evaluation results. However, the commonly used normal information diffusion model is
Liangguang Zhou   +7 more
doaj   +1 more source

Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision

open access: yesMathematics, 2023
The current literature includes limited information on the classification precision of Bayes estimation for latent class analysis (BLCA). (1) Objectives: The present study compared BLCA with the robust maximum likelihood (MLR) procedure, which is the ...
Diana Mindrila
doaj   +1 more source

A Multiple Dependent State Repetitive Sampling Plan Based on Performance Index for Lifetime Data with Type II Censoring

open access: yesIEEE Access, 2019
In this paper, a multiple dependent state repetitive (MDSR) sampling plan based on the lifetime performance index CL is proposed for lifetime data with type II censoring when the lifetime of a product follows the exponential distribution or Weibull ...
Muhammad Aslam   +4 more
doaj   +1 more source

How to Sample Approval Elections? [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2022
We extend the map-of-elections framework to the case of approval elections. While doing so, we study a number of statistical cultures, including some new ones, and we analyze their properties. We find that approval elections can be understood in terms of
Stanislaw Szufa   +6 more
semanticscholar   +1 more source

Average Rician K-Factor Based Analytical Uncertainty Model for Total Radiated Power Measurement in a Reverberation Chamber

open access: yesIEEE Access, 2020
Total radiated power (TRP) is commonly accepted as an important figure of merit (FoM) for evaluating the over-the-air (OTA) performance of wireless devices enabled by the emerging fifth generation (5G) mobile communication technology.
Tianyuan Jia   +4 more
doaj   +1 more source

Impact of corporate social responsibility disclosures on financial performance [PDF]

open access: yes, 2000
The purpose of this study is to explore the impact of corporate social responsibility (CSR) disclosure on the financial performance of industrial companies operating in Australia. The study adopts a quantitative methodological approach.
Al Hazaima, Huthaifa   +2 more
core   +1 more source

Sample Efficient Reinforcement Learning with REINFORCE [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2020
Policy gradient methods are among the most effective methods for large-scale reinforcement learning, and their empirical success has prompted several works that develop the foundation of their global convergence theory.
Junzi Zhang   +3 more
semanticscholar   +1 more source

The Opacity of Spiral Galaxy Disks IV: Radial Extinction Profiles from Counts of Distant Galaxies seen through Foreground Disks [PDF]

open access: yes, 2004
Dust extinction can be determined from the number of distant field galaxies seen through a spiral disk. To calibrate this number for the crowding and confusion introduced by the foreground image, Gonzalez et al.(1998) and Holwerda et al. (2005) developed
Allen, Ronald J.   +3 more
core   +6 more sources

Sampling strategies and long term variation modelling for a statistical feed-forward controller [PDF]

open access: yesInternational Journal of Metrology and Quality Engineering, 2012
The Statistical Feed-Forward Control Model (SFFCM) relies on a sequence of specification adjustments made on subsets of a population to counter the influence of the long time component of the variation. The difficulty strives in finding a proper estimate
Hernández C., Tutsch R.
doaj   +1 more source

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