Results 211 to 220 of about 118,514 (262)

Low-Latency Oriented Joint Data Compression and Resource Allocation in NOMA-MEC Networks: A Deep Reinforcement Learning Approach. [PDF]

Sensors (Basel)
Tan F, Zeng Y, Lan C, Zhou Z.
europepmc   +1 more source

Growth and Variation in Fallow Deer (Dama dama L.) From Two Contrasting Habitats in Southern Britain

Acta Zoologica, EarlyView.
ABSTRACT We have compiled a unique data set on the age, sex, body weight and dimensions of over 500 European fallow deer from two contrasting areas of habitat in southern England: a high‐density managed parkland population and a lower‐density feral woodland one.
Adrian M. Lister, Norma G. Chapman
wiley   +1 more source

Peer Reporting: Sampling Design and Unbiased Estimates. [PDF]

Entropy (Basel)
Wen K, Mou J, Lu X.
europepmc   +1 more source

Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4

British Journal of Psychology, EarlyView.
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern, Chien‐Te Wu, Zenas C. Chao   +2 more
wiley   +1 more source

Utilizing unified progressive hybrid censored data in parametric inference under accelerated life tests. [PDF]

Sci Rep
Yousef MM, Hassan AS, Almetwally EM, Nagy M, Mansi AH.   +4 more
europepmc   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

An Epidemiologic Approach for Estimating Risk Reduction and Asymptotic Power on the Log-Difference Scale. [PDF]

Int J Environ Res Public Health
Efird JT.
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection Limits. [PDF]

Stat Med
Song X, Wang CY.
europepmc   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source