Search Results - (( (skratene OR statpoint) python code analysis ) OR ( stat python code analysis ))*

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Python How-To : 63 Techniques to Improve Your Python Code

Authors: Yong Cui

Resource Type: eBook.

Subjects: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Authors: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. et al.

Source: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Subject Terms: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geographic Terms: FLORIDA

Effects of a post-acute care management program on subsequent acute care utilization for hospitalized patients discharged to skilled nursing facilities.

Authors: Armstrong D Agovi AM Gehr AW et al.

Source: BMC health services research [BMC Health Serv Res] 2026 Jan 07. Date of Electronic Publication: 2026 Jan 07.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE

Data from: A strong test of the Maximum Entropy Theory of Ecology

Authors: Xiao, Xiao Aravajy, S. Baribault, Thomas W. et al.

Source: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Subject Terms: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat

Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1

Availability: https://doi.org/10.5061/dryad.5fn46
https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633
https://doi.org/10.5061/dryad.5fn46/1

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Authors: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John et al.

Subject Terms: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH

File Description: jMRUI http://www.jmrui.eu/ python www.python.org Excel; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream

Relation: https://www.repository.cam.ac.uk/handle/1810/361916; https://doi.org/10.17863/CAM.26029

Availability: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029

TRIQS/SOM 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation.

Authors: Krivenko, Igor Mishchenko, Andrey S.

Source: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.

Subject Terms: *PYTHON programming language, *GREEN'S functions, *MAXIMUM entropy method, *COVARIANCE matrices, *STATISTICAL ensembles, *PROGRAMMING languages, *REGULARIZATION parameter

Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena

Authors: Laura Di Lucchio Giovanni Modanese

Source: Stats, Vol 7, Iss 1, Pp 220-234 (2024)

Subject Terms: scale-free networks, assortative networks, network rewiring, agent-based models, Bass innovation diffusion model, Statistics, HA1-4737

File Description: electronic resource

Relation: https://www.mdpi.com/2571-905X/7/1/14; https://doaj.org/toc/2571-905X

Access URL: https://doaj.org/article/1ed58599ad2b446e8fba7bbd67fd64e7

Data from: A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Authors: Ince, Robin A. A. Giordano, Bruno L. Kayser, Christoph et al.

Source: oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10.5061/dryad.8b146 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; re3data_____::r3d100000044 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Subject Terms: Life sciences, medicine and health care, face, EEG, multivariate, planar gradient, mutual information, meg, n170, statistics, neuroimaging, stat, psy

Relation: http://dx.doi.org/10.5061/dryad.8b146; https://dx.doi.org/10.5061/dryad.8b146

Availability: https://doi.org/10.5061/dryad.8b146

Guide to Distributed Algorithms

Authors: K. Erciyes

Resource Type: eBook.

Subjects: Algorithms, Python (Computer program language)

Categories: COMPUTERS / Computer Science, COMPUTERS / Programming / Algorithms, COMPUTERS / Languages / Python

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Authors: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Source: Frontiers in Mammal Science. 2025, p1-27. 27p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Authors: Tan, Lizhi Cai, Xinyu Kong, Yuan et al.

Source: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

NDL-v2.0: A new version of the numerical differentiation library for parallel architectures.

Authors: Hadjidoukas, P.E. Angelikopoulos, P. Voglis, C. et al.

Source: Computer Physics Communications. Jul2014, Vol. 185 Issue 7, p2217-2219. 3p.

Subject Terms: *NUMERICAL differentiation, *PARALLEL processing, *MULTICORE processors, *DISTRIBUTED shared memory, *PARAMETER estimation, *PYTHON programming language, *CODING theory

Official Replication Package of the EMSE Journal Article: 'Does Microservice Adoption Impact the Velocity? A Cohort Study'

Authors: Saarimäki, Nyyti orcid:0000-0001-5538- Robredo, Mikel et al.

Subject Terms: Empirical Software Engineering, Cohort Studies, Microservices Architecture, Development velocity, Velocity

Relation: https://zenodo.org/records/14876472; oai:zenodo.org:14876472; https://doi.org/10.5281/zenodo.14876472

Availability: https://doi.org/10.5281/zenodo.14876472
https://zenodo.org/records/14876472

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

BiteSize Python for Absolute Beginners : With Practice Labs, Real-World Examples, and Generative AI Assistance

Authors: Di Wu

Resource Type: eBook.

Subjects: Python (Computer program language), Computer programming, Artificial intelligence--Computer programs

Categories: COMPUTERS / Languages / Python

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Authors: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Source: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Authors: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté et al.

Source: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.