Results 31 to 40 of about 266,368 (176)

Data inventory, processing, and reporting on plant blindness among high school students in three schools in West Java

Biosfer
Plant blindness is a problem related to a person's inability to realize, recognize, and know the benefits and roles of plants. After some research, there was a shift in the term, from Plant Blindness to Plant Awareness Disparity.
Puan Helwa Rezha Soraya, Rini Solihat, Yayan Sanjaya   +2 more
doaj   +1 more source

Statistical analysis of factor models of high dimension

, 2012
This paper considers the maximum likelihood estimation of factor models of high dimension, where the number of variables (N) is comparable with or even greater than the number of observations (T). An inferential theory is developed. We establish not only
Bai, Jushan, Li, Kunpeng
core   +1 more source

Statistical Techniques for Environmental Sciences: A Review

Mathematical and Computational Applications, 2021
This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach.
Lishamol Tomy, Christophe Chesneau, Amritha K. Madhav   +2 more
doaj   +1 more source

Robust Statistics [PDF]

, 2018
In lieu of an abstract, here is the entry\u27s first paragraph: Robust statistics are procedures that maintain nominal Type I error rates and statistical power in the presence of violations of the assumptions that underpin parametric inferential ...
Blaine, Bruce E
core   +1 more source

Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data

, 1995
Bayesian statistics in the frame of the maximum entropy concept has widely been used for inferential problems, particularly, to infer dynamic properties of strongly correlated fermion systems from Quantum-Monte-Carlo (QMC) imaginary time data. In current
Bretthorst G L, Buck B, Frieden B R, Gull S F, Jarrell M, Jaynes E T, Kapur J N, O'Hagan A, R Preuss, Silver R N, Skilling J, Skilling J, Skilling J, von der Linden W, W Hanke, W von der Linden   +15 more
core   +2 more sources

Probability, propensity and probabilities of propensities (and of probabilities)

, 2016
The process of doing Science in condition of uncertainty is illustrated with a toy experiment in which the inferential and the forecasting aspects are both present.
D'Agostini, Giulio
core   +1 more source

On Measuring Large Language Models Performance with Inferential Statistics

Information
Measuring the reliability of performance evaluations is particularly important when we evaluate non-deterministic models. This is the case of using large language models (LLMs) in classification tasks, where different runs generate different outputs ...
Jesús M. Fraile-Hernández, Anselmo Peñas   +1 more
doaj   +1 more source

sphstat: A Python package for inferential statistics on vectorial data on the unit sphere

SoftwareX, 2023
Data that resides on the surface of a 2-sphere is common in various scientific fields, including physics, earth sciences, astronomy, and psychoacoustics.
Hüseyin Hacıhabiboğlu
doaj   +1 more source

Predicting continuous conflict perception with Bayesian Gaussian processes [PDF]

, 2014
Conflict is one of the most important phenomena of social life, but it is still largely neglected by the computing community. This work proposes an approach that detects common conversational social signals (loudness, overlapping speech, etc.) and ...
Filippone, Maurizio, Kim, Samuel, Valente, Fabio, Vinciarelli, Alessandro   +3 more
core   +1 more source

Bootstrapping Analysis, Inferential Statistics and EXCEL

Spreadsheets in Education, 2011
Performing a parametric statistical analysis requires the justification of a number of necessary assumptions. If assumptions are not justified research findings are inaccurate and in question. What happens when assumptions are not or cannot be addressed?
John A Rochowicz Jr
doaj