Analyzing Titanic disaster using machine learning algorithms
A Singh, S Saraswat, N Faujdar - … International Conference on …, 2017 - ieeexplore.ieee.org
Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers
and crew members. The fateful incident still compel the researchers and analysts to …
and crew members. The fateful incident still compel the researchers and analysts to …
Data Mining Techniques and Applications: A Ten-Year Update
N Rahman - … Journal of Strategic Information Technology and …, 2018 - igi-global.com
Data mining has been gaining attention with the complex business environments, as a rapid
increase of data volume and the ubiquitous nature of data in this age of the internet and …
increase of data volume and the ubiquitous nature of data in this age of the internet and …
Data mining problems classification and techniques
N Rahman - Cognitive Analytics: Concepts, Methodologies, Tools …, 2020 - igi-global.com
Data mining techniques are widely used to uncover hidden knowledge that cannot be
extracted using conventional information retrieval and data analytics tools or using any …
extracted using conventional information retrieval and data analytics tools or using any …
[PDF][PDF] Robustness, data analysis, and statistical modeling: the first 50 years and beyond
EB Barrios - Communications for Statistical Applications and …, 2015 - koreascience.kr
We present a survey of contributions that defined the nature and extent of robust statistics for
the last 50 years. From the pioneering work of Tukey, Huber, and Hampel that focused on …
the last 50 years. From the pioneering work of Tukey, Huber, and Hampel that focused on …
TFRS 9 finansal araçlar standardı uyarınca beklenen kredi zarar karşılığı ölçümünün bankacılık sektörüne etkisi: Bir uygulama
M Süner - 2023 - search.proquest.com
Çalışmanın temel amacı, TFRS 9'un getirdiği Beklenen Kredi Zarar Karşılığı (BKZK)
uygulaması için lojistik regresyon analizi ile içsel, dışsal ve finansal modeller üzerinden …
uygulaması için lojistik regresyon analizi ile içsel, dışsal ve finansal modeller üzerinden …
Advanced Statistical Methodology for the Modern Probability of Detection
CE Knott - 2023 - scholar.afit.edu
Probability of detection (POD) is an invaluable part of the calculations used by the USAF to
validate the capabilities of nondestructive inspection systems for detecting defects in critical …
validate the capabilities of nondestructive inspection systems for detecting defects in critical …
Success of Online and Face-to-Face Secondary Algebra I Students
AN Rohde - 2022 - search.proquest.com
Research results from the past decade on the efficacy of online instruction for high school
students varies. While many researchers suggested that younger students, mathematics …
students varies. While many researchers suggested that younger students, mathematics …
On the population median estimation using quartile double ranked set sampling
AI Al-Omari, LM Al-Zubi, A Khazaleh - Pakistan Journal of Statistics and …, 2015 - pjsor.com
In this article, quartile double ranked set sampling (QDRSS) method is considered for
estimating the population median. The sample median based on QDRSS is suggested as an …
estimating the population median. The sample median based on QDRSS is suggested as an …
Further Improving the Performance of Logistic Regression Analysis Using Double Extreme Ranking
For dichotomous or ordinal dependent variables, logistic regression models as one of the
generalized linear models have been intensively applied in several fields. We proposed a …
generalized linear models have been intensively applied in several fields. We proposed a …
Ranked set sampling applied to hit-miss probability of detection data: A case study
C Henry, CS Kabban, M Cherry… - AIP Conference …, 2019 - pubs.aip.org
Probability of Detection (POD) studies using the hit/miss criteria often suffer from quasi-
separation in the data, which leads to a lacN of convergence for the maximum liNelihood …
separation in the data, which leads to a lacN of convergence for the maximum liNelihood …