Calculate Cost of Goods Sold: FIFO Method Explained

Discover how the FIFO method simplifies COGS calculations, using examples and comparisons to enhance your financial ...
University of Massachusetts Lowell

Register Now for CPE Interdiscipinary Data Analysis Winter Workshops 1/12-1/15/

Non-Profit Community Organization Employees: Registration fee: $35/workshop. Register for all 4 workshops and receive a discounted rate of $105 total. For-Profit Business Organizations Employees: ...
BMJ Open

Women’s health-related functioning and its association with non-severe maternal morbidities during the perinatal period: an observational longitudinal study

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
Albuquerque Journal

Data center boom puts New Mexico’s power grid — and climate goals — to the test

Global demand for data centers is ballooning as tech companies require storage and computing facilities at accelerating rates. Data centers house the computers that support streaming services, ...
IEEE

Modeling Human Responses by Ordinal Archetypal Analysis

Abstract: This paper introduces a novel framework for Archetypal Analysis (AA) tailored to ordinal data, particularly from questionnaires. Unlike existing methods, the proposed method, Ordinal ...
Phys.org

Data-driven method reveals how (un)predictable complex systems can be

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...
Scientific Research Publishing

Smith, T.J., Walker, D.A. and McKenna, C.M. (2020) An Exploration of Link Functions Used in Ordinal Regression. Journal of Modern Applied Statistical Methods, 18, 2-15.

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...
Scientific Research Publishing

Cumulative Link Ordinal Outcome Neural Networks: An Evaluation of Current Methodology ()

Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...
EurekAlert!

A back-analysis method of deep excavation in soft soil based on BIM-NS-ML integrated technology

An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II ...
InfoWorld

Databricks’ TAO method to allow LLM training with unlabeled data

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
GitHub

Multivariate analysis of ordinal data with missing values and latent variables

Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...