Results 51 to 60 of about 13,501,891 (203)

Central limit theorem: the cornerstone of modern statistics [PDF]

Korean Journal of Anesthesiology, 2017
According to the central limit theorem, the means of a random sample of size, n, from a population with mean, µ, and variance, σ2, distribute normally with mean, µ, and variance, σ2n.
Sang Gyu Kwak, Jong Hae Kim
doaj   +1 more source

NON-PARAMETRIC MANN-KENDALL AND SEN’S SLOPE ESTIMATE AS A METHOD FOR DETECTING TREND WITHIN HYDRO-METEOROLOGICAL TIME SERIES: A REVIEW

Academy Journal of Science and Engineering, 2023
Climate and water resources are interconnected in a complex way such that a change in any one induces a change in another. Trend analysis is usually employed while assessing the long-term impact of climate variability on the environment, particularly ...
Nura Idris Abdullahi, Shamsudden Mohammed, Yusuf Owoseni, Stephen Ijimdiya, Khalid Suleiman   +4 more
doaj  

Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures

Entropy
We develop goodness-of-fit (GOF) procedures rooted in Tsallis entropy, with a particular emphasis on multivariate exponential-power (generalized Gaussian) and q-Gaussian models. The GOF statistic compares a closed-form Tsallis entropy under the null with
Mehmet Siddik Cadirci
doaj   +1 more source

Effective Analysis of Interactive Effects with Non-Normal Data Using the Aligned Rank Transform, ARTool and SAS^® University Edition

Horticulturae, 2019
Most statistical techniques commonly used in horticultural research are parametric tests that are valid only for normal data with homogeneous variances.
Edward Durner
doaj   +1 more source

Non-parametric production analysis under alternative price conditions. [PDF]

The literature on non-parametric production analysis has formulated tests for profit maximizing behavior that do not require a parametric specification of technology.
Kuosmanen, T, Cherchye, Laurens, Post, T
core   +2 more sources

Assessing the performance of parametric and non‐parametric tests for trend detection in partial duration time series

Journal of Flood Risk Management
The detection of nonstationarities in partial duration time series (PDS) depends on several factors, including the length of the time series, the selected statistical test, and the heaviness of the tail of the distribution.
Renato Amorim, Gabriele Villarini
doaj   +1 more source

Experimental Comparisons of Metaheuristic Algorithms in Solving Combined Economic Emission Dispatch Problem Using Parametric and Non-Parametric Tests

Applied Artificial Intelligence, 2018
In this paper, the parametric and non-parametric statistical tests are applied for comparisons of metaheuristic algorithms’ (MAs) behavior in solving Combined Economic Emission Dispatch (CEED) problem. In the last years, in many published papers, a large
Milena Jevtić, Nenad Jovanović, Jordan Radosavljević   +2 more
doaj   +1 more source

Does the Sector Matters? An Empirical Investigation of Job Satisfaction and Performance Evaluation Process Based on Romanian Employees’ Perceptions [PDF]

Revista de Management Comparat International, 2018
The paper aims to investigate if the activity sector matters in explaining and analysing the job satisfaction, its determinants and also the satisfaction related to the performance evaluation process using an empirical research based on gender ...
Alexandra BEIU, Adriana Ana-Maria DAVIDESCU   +1 more
doaj   +1 more source

Analysis of Statistical Downscaling Model (SDSM) projected future rainfall in Northwestern, Western and Southern provinces of Sri Lanka

Ruhuna Journal of Science, 2022
Even though an extensive amount of climate change studies have been carried out in different parts of the world, Sri Lanka is one of the least focused countries in this regard.
Mohamed Riflan, Miyuru B. Gunathilake, Jayanga T. Samarasinghe, Isuru M. Bandara, Imiya M. Chathuranika, Upaka Rathnayake   +5 more
doaj   +1 more source

Non-parametric geographic subdivision tests comparing pre- ASCT viruses with those at each rebound.

, 2016
Non-parametric geographic subdivision tests comparing pre- ASCT viruses with those at each rebound.
Nilu Goonetilleke (208785), Frank Maldarelli (69272), Deenan Pillay (7888), Petra Mlcochova (2872796), Ravindra K. Gupta (372679), Sarah A. Watters (2872793)   +5 more
core   +1 more source