Results 11 to 20 of about 8,764,462 (319)

Formal Expressions Which Can be Used for the Determination of the Operating Characteristic and Average Sample Number of a Simple Sequential Test

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1967
Summary In this paper expressions are developed which are useful for determining the characteristics of a sequential test designed to test a simple hypothesis against a simple alternative. Simple equations are derived which give upper and lower limits for the operating characteristic and average sample number of the test in situations ...
K. Kemp
openaire   +3 more sources

A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting [PDF]

open access: yesPeerJ Computer Science, 2023
Electrical load forecasting is important to ensuring power systems are operated both economically and safely. However, accurately forecasting load is difficult because of variability and frequency aliasing.
Chun-Hua Wang, Wei-Qin Li
doaj   +2 more sources

Repetitive acceptance sampling plan for type-ii generalized half logistic distribution based on truncated life test [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
In this article, we present a new repetitive acceptance sampling plan for attributes based on considering the Type-II generalized half-logisticl distribution (GHLD) with known shape parameters.
Gadde Srinivasa Rao   +2 more
doaj   +1 more source

A SkSP-R Plan under the Assumption of Gompertz Distribution

open access: yesApplied Sciences, 2022
In this study, we designed a time-truncated SkSP-R sampling plan when the lifetime of units follows a Gompertz distribution (GmzD). The GmzD is briefly discussed.
Harsh Tripathi   +2 more
doaj   +1 more source

Quality Control Testing with Experimental Practical Illustrations under the Modified Lindley Distribution Using Single, Double, and Multiple Acceptance Sampling Plans

open access: yesMathematics, 2023
Quality control testing under acceptance sampling plans involves inspecting a representative sample of products or materials from a larger lot or batch to determine whether the lot meets predetermined quality standards.
Yusra Tashkandy   +4 more
doaj   +1 more source

Optimized np Attribute Control Chart Using Triple Sampling

open access: yesMathematics, 2022
This paper studies an attribute control chart for monitoring the number of nonconforming items using a triple sampling (TS-np) which has not yet been applied to attribute control charts.
Jose Jorge Muñoz   +2 more
doaj   +1 more source

Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications

open access: yesArab Journal of Basic and Applied Sciences, 2023
Acceptance sampling plans are commonly utilized for planning, process control, and implementation of industrial data sets. In addition to this, they also provide a solution for process quality control.
Ayesha Awais   +5 more
doaj   +1 more source

Evaluation of a first-event sampling model for monitoring cabbage pests

open access: yesJournal of Entomological and Acarological Research, 2021
First-event sampling models for monitoring diamondback moth Plutella xylostella (Lepidoptera: Plutellidae) and small white butterfly, Pieris rapae (Pieridae) are used in integrated production systems of cabbage.
K.G. Kim, S. Toepfer
doaj   +1 more source

Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy

open access: yesBMC Medical Research Methodology, 2021
Background This research work is elaborated investigation of COVID-19 data for Weibull distribution under indeterminacy using time truncated repetitive sampling plan. The proposed design parameters like sample size, acceptance sample number and rejection
G. Srinivasa Rao, Muhammad Aslam
doaj   +1 more source

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
A popular approach for improving the correctness of output from large language models (LLMs) is Self-Consistency - poll the LLM multiple times and output the most frequent solution.
Pranjal Aggarwal   +3 more
semanticscholar   +1 more source

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