Results 21 to 30 of about 9,156,502 (281)
Confidence regions for the multinomial parameter with small sample size [PDF]
, 2008 Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown discrete distribution on {1,...,d}. In many applications, the
Blyth C. R. +3 more
core +6 more sources
Clutch Pressure Plate Temperature Prediction Based on Bi-LSTM and Migration Learning
Applied Sciences, 2023 Clutch pressure plate temperature prediction is crucial for the structural design and performance evaluation of the clutch. However, due to the complexity of the clutch structure and the non-linear characteristics of temperature changes, accurate ...
Dong Chen +3 more
doaj +1 more source
Multivariate small sample tests for two-way designs with applications to industrial statistics [PDF]
, 2018 In this paper, we present a novel nonparametric approach for multivariate analysis of two-way crossed factorial design based on NonParametric Combination applied to Synchronized Permutation tests.
Arboretti, Rosa +4 more
core +1 more source
Thickness of small sample for creep property evaluation of 9Cr steel base metal of piping on site
Nihon Kikai Gakkai ronbunshu, 2022 We had proposed a creep life assessment method for boiler piping that can consider the heat-to-heat variations of the creep properties of each welded joint, where the creep properties of the welded joint are estimated from those of each base metal.
Masatsugu YAGUCHI +3 more
doaj +1 more source
Determinants of customer behavioural responses: A pilot study [PDF]
, 2010 The paper aims at exploring a small sample data on the determinants of customer behavioural responses in the Nigerian retail banking. Hence, instrument validity, reliability and subsequently the data normality were examined through panel of expert and ...
Maiyaki, Ahmed Audu +1 more
core +1 more source
The research and development of small-invasive sampling machine
Ubiquity Proceedings, 2018 The research and development of small-invasive sampling machine (SISM), which can be used to take out small dimensional samples from in-service equipment and to provide experimental materials for hydraulic bulging test and small punch test, has important
J. Wang, R. Chen, Q. Wang, S. Tu
doaj +1 more source
Plant Disease Detection and Classification by Deep Learning—A Review
IEEE Access, 2021 Deep learning is a branch of artificial intelligence. In recent years, with the advantages of automatic learning and feature extraction, it has been widely concerned by academic and industrial circles.
Lili Li, Shujuan Zhang, Bin Wang
doaj +1 more source
Tail-Index Estimates in Small Samples [PDF]
Journal of Business & Economic Statistics, 2001 Financial returns are known to be nonnormal and tend to have fat-tailed distributions. This article presents a simple methodology that accurately estimates the degree of tail fatness, characterized by the tail index, in small samples. Our method is a weighted average of Hill estimators for different threshold values that corrects for the small-sample ...
Kool, C.J.M. +3 more
openaire +3 more sources
TAI-SARNET: Deep Transferred Atrous-Inception CNN for Small Samples SAR ATR
Sensors, 2020 Since Synthetic Aperture Radar (SAR) targets are full of coherent speckle noise, the traditional deep learning models are difficult to effectively extract key features of the targets and share high computational complexity.
Zilu Ying +10 more
doaj +1 more source
Small-sample corrections for score tests in Birnbaum-Saunders regressions
, 2010 In this paper we deal with the issue of performing accurate small-sample inference in the Birnbaum-Saunders regression model, which can be useful for modeling lifetime or reliability data.
Abell M. L. +6 more
core +1 more source