Results 171 to 180 of about 3,046 (204)
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2021
The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
openaire +1 more source
The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
openaire +1 more source
Analysis of covariance under neutrosophic statistics
Journal of Statistical Computation and Simulation, 2022Abdulrahman AlAita, Muhammad Aslam
openaire +1 more source
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Neutrosophic statistical analysis of split-plot designs
Soft Computing, 2023Abdulrahman AlAita +3 more
openaire +1 more source
Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly
Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
exaly