Results 51 to 60 of about 5,687 (280)

Is Bitcoin’s Carbon Footprint Persistent? Multifractal Evidence and Policy Implications

Entropy, 2022
The Bitcoin mining process is energy intensive, which can hamper the much-desired ecological balance. Given that the persistence of high levels of energy consumption of Bitcoin could have permanent policy implications, we examine the presence of long ...
Bikramaditya Ghosh, Elie Bouri
doaj   +1 more source

A regression control chart for autocorrelated processes

, 2014
In this study, we present a new regression control chart which is able to detect the mean shift in a production process. This chart is designed for autocorrelated process observations having a linearly increasing trend.
Karaoglan, Aslan Deniz, Bayhan, Gunhan Mirac   +1 more
core   +1 more source

Tropicalization of the Temperate Zone: Spatiotemporal Variability of Winter Warming and Declining Freeze Days Across the United States

International Journal of Climatology, EarlyView.
Unique characteristics of winter daily minimum (Tmin) and maximum (Tmax) temperatures and freeze days across the conterminous United States from 1952 to 2024 are examined. Results show spatial heterogeneity in Tmin/Tmax warming rates across the tropical‐temperate transition zone in the southeastern United States, and that the highest temperature on the
Vincent M. Brown, Derek T. Thompson, Buren B. DeFee II, Michael J. Osland, Barry D. Keim   +4 more
wiley   +1 more source

Are We in Control? How Best to Include a Control Group in Interrupted Time Series Designs: A Simulation Study. [PDF]

J Eval Clin Pract
ABSTRACT Background While controlled interrupted time series (CITS) are commonly used to evaluate public health policies, how to incorporate control(s) into their statistical modelling has received limited attention. We aimed to compare the statistical performance of different model formulations for including control groups in various segmented ...
Manca F, Mackay D, Lewsey J.
europepmc   +2 more sources

Too Few, Too Many, or Just Right? Optimizing Sample Sizes for Population-Level Inferences in Animal Tracking Projects. [PDF]

Ecol Evol
We present a flexible workflow to determine optimal sample sizes in animal tracking studies, balancing sampling duration, interval, and number of tagged individuals. Integrated into an R package and Shiny application, it supports rigorous and cost‐effective study design to improve inferences and inform conservation, while considering logistical and ...
Silva I, Fleming CH, Noonan MJ, Fagan WF, Calabrese JM.   +4 more
europepmc   +2 more sources

On processes with summable partial autocorrelations

Statistics & Probability Letters, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Is AI an Algorithm by Any Other Name? Behavioral Reactions to AI‐ and Model‐Based Demand Planning Algorithms

Journal of Operations Management, EarlyView.
ABSTRACT With the ongoing deployment of AI algorithms, managers do not know whether existing demand planning processes account for possible differences in human behavior when using AI‐based systems in comparison to legacy model‐based systems. This study examines how human behavior may differ when performing demand forecasting tasks due to the ...
Finnegan McKinley, Rebekah Brau, John Aloysius, Adriana Rossiter Hofer   +3 more
wiley   +1 more source

Autocorrelated SPC for non-normal situations

, 2005
The importance of statistical process control (SPC) techniques in quality improvement is well recognized in industry. However, most conventional SPC techniques have been developed under the assumption of independent, identically and normally distributed ...
Tsung, Fugee, Castagliola, Philippe
core   +1 more source

for autocorrelated data in the presence of random measurement errors

, 2023
Process capability indices (PCIs) have been widely used for process performance assessment. It provides a quantitative measure of performance of an industrial production process. Several PCIs have been proposed in the literature. C pk is one of the most
Anis, M. Z., Bera, Kuntal, Kuntal Bera, M.Z. Anis   +3 more
core   +1 more source

Area‐restricted search under realistic constraints

Oikos, EarlyView.
Abstract Area‐restricted search (ARS) is one of the most influential and widely used concepts in foraging theory, capturing a simple rule by which animals intensify local search following a resource encounter. Because ARS performs well in many spatially structured environments, it serves as a basic model for interpreting movement patterns across taxa ...
Inon Scharf, Arik Dorfman
wiley   +1 more source