Maintenance and operation actions in the electrical system can be optimized with the presence of accurate information. This paper proposes a methodology to provide an statistical analysis with real main transformer. The use of the Python language is exploited for being open source and working easily with large masses of data.Samuel LessingerRodrigo M. de...
This tutorial explores statistical analysis in Python using thescipy.statsmodule, part of the SciPy library, ideal for advanced data science tasks. Thescipy.statsmodule offers tools for descriptive statistics, probability distributions, and hypothesis testing, far exceeding the basic capabilities of Python...
2. Median 3. Standard deviation: the larger the number means it various a lot. 4. Sum. Rolling Statistics: It use a time window, moving forward each day to calculate the mean value of those window periods. To find which day is good to buy which day is good for sell, we can use B...
[025]4.5 Discriminant Analysis.zh_en 07:13 [026]4.6 Gaussian Discriminant Analysis (One Variable).zh_en 07:38 [027]4.7 Gaussian Discriminant Analysis (Many Variables).zh_en 17:43 [028]4.8 Generalized Linear Models.zh_en 09:35 [029]4.9 Quadratic Discriminant Analysis and Naive Bayes.zh_en...
An excellent, approachable book to get started with Bayesian methods. Regression Modeling Strategies, Frank Harrell Frank Harrell's bag of tricks for regression modeling. I pull this off the shelf every week. Statistical Data Analysis in PythonbyChristopher Fonnesbeckis licensed under aCreative Commons...
Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose Maximilien Colange Guillaume Appé Abdelkader Behdenna ResearchOpen Access24 May 2025 Scientific Reports Volume: 15, P: 18104 Addressing survey fatigue bias in longitudinal social contact studies to improve pan...
(P‑SAT) in geophysical flows Mayank Agarwal1, Vishal Deshpande2*, David Katoshevski3 & Bimlesh Kumar4 We present Python Statistical Analysis of Turbulence (P-SAT), a lightweight, Python framework that can automate the process of parsing, filtering, computation of various ...
Sacpy, an effecient Statistical Analysis tool for Climate and Meteorology data.Author : Zilu Menge-mail : zilumeng@uw.edugithub : https://github.com/ZiluM/sacpypypi : https://pypi.org/project/sacpy/Document: https://zilum.github.io/sacpy/version...
For example, Sacpy is more than 60 times faster than the traditional regression analysis with Python (seespeed test). Turn to climate data customization! Compatible with commonly used meteorological calculation libraries such as numpy and xarray. ...
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large da...