Search results for " Likelihood"
showing 10 items of 115 documents
Stochastical Real Time Finite State Machine LPC for Planar Manipulator Control System Model estimation
2005
This paper presents a new stochastical real-time LPC (Last Principal Component) algorithm to estimate single-input-single-output (SISO) and multiple-input-multiple-output (MIMO) varying time models from input output data clusters of non stationary black boxes. Each of data clusters is on a time window. An application to estimate the control system model of a planar manipulator is developed. In fact many mathematical models of physical systems are non stationary such as industrial manipulator model. A real time estimation algorithm via stochastical LPC algorithm and an appraiser called "finite state machine" is then described For every data cluster the finite state machine updates the parame…
A new tuning parameter selector in lasso regression
2019
Penalized regression models are popularly used in high-dimensional data analysis to carry out variable selction and model fitting simultaneously. Whereas success has been widely reported in literature, their performance largely depend on the tuning parameter that balances the trade-off between model fitting and sparsity. In this work we introduce a new tuning parameter selction criterion based on the maximization of the signal-to-noise ratio. To prove its effectiveness we applied it to a real data on prostate cancer disease.
Getting rid of the Chi-square and Log-likelihood tests for analysing vocabulary differences between corpora
2018
Log-likelihood and Chi-square tests are probably the most popular statistical tests used in corpus linguistics, especially when the research is aiming to describe the lexical variations between corpora. However, because this specific use of the Chi-square test is not valid, it produces far too many significant results. This paper explains the source of the problem (i.e., the non-independence of the observations), the reasons for which the usual solutions are not acceptable and which kinds of statistical test should be used instead. A corpus analysis conducted on the lexical differences between American and British English is then reported, in order to demonstrate the problem and to confirm …
It does take a village: nonfamilial environments and children's behavior.
2003
Family characteristics influence children's behavioral development, but so do variations in schools, neighborhoods, and communities. We documented extrafamilial environmental effects by fitting maximum likelihood models to questionnaire data collected from double dyads consisting of twins and their classmate controls. The classmate controls in each double dyad were genetic strangers living in separate households, but they shared school, neighborhood, and community environments with their yoked twin pair and with one another. At ages 11 to 12, the control classmates showed significant similarities in religious practices and smoking and drinking patterns, demonstrating that environmental inf…
Cherish your loved ones – the role of the feeling of care and security in advertising
2014
Advertising practice makes use of emotional cues and addresses consumers' rising desire for social connection. Research has investigated emotions within advertising, but mainly focused on negative or positive emotions. Traditional academic approaches to the analysis of persuasion according to the elaboration likelihood model (ELM) tend to emphasize central processing and thus rational advertising cues. Moreover, the role of motivation within the ELM is underspecified. We introduce the Zurich Model of Social Motivation to the regulation of social distance and investigate the specific feeling of care and security. This feeling may serve as motivational component and emerge as persuasion instr…
The role of social trust in reward crowdfunding campaigns’ design and success
2021
AbstractTrust is critical for successful participation in online marketplaces. In crowdfunding, fundraisers seek to win the trust of potential supporters towards contributing to their projects despite risks of non-delivery or deviations from campaign promises. This study explores how cultural differences in social trust proclivities influence reward crowdfunding campaign design and success. Specifically, we analyze data about 700 campaigns from a relatively high social trust society (HTS) – Finland, and 700 campaigns from a relatively low social trust society (LTS) – Poland. We find that sharing campaign information via social media is positively associated with campaign success in both con…
Negative eWOM and perceived credibility : a potent mix in consumer relationships
2022
PurposeBased on the foundations of the schema theory, the elaboration likelihood model (ELM) and customer experience literature, this research examines how the interplay between a consumer's previous shopping experience(s) and perceived credibility of negative online word-of-mouth (PCNWOM) leads to improved consumer–firm relationship quality (RQ).Design/methodology/approachThe authors utilised series of scenario-based experiments (N = 918) to test the research hypotheses.FindingsThe authors show that a focal customer's previous shopping experiences attenuate the perceived credibility of negative word-of-mouth on social media by other customers, which in turn weakens consumer–firm RQ. The au…
Electrical measurements in µ-EDM
2008
The phenomena occurring between the electrodes in electric discharge machining when manufacturing features on the micro-metre scale (µ-EDM) is not fully understood. Poor quantitative knowledge of the sources of variability affecting this process hinders the identification of its natural tolerance limits. Moreover, improvements in measuring systems contribute to the acquisition of new information that often conflicts with existent theoretical models of this process. The prime objective of this paper is to advance the experimental knowledge of µ-EDM by providing a measurement framework for the electrical discharges. The effects of the electrodes metallic materials (Ag, Ni, Ti, W) on the elect…
Confidence Intervals for the Mean Based on Exponential Type Inequalities and Empirical Likelihood
2013
For independent observations, recently, it has been proposed to construct the confidence intervals for the mean using exponential type inequalities. Although this method requires much weaker assumptions than those required by the classical methods, the resulting intervals are usually too large. Still in special cases, one can find some advantage of using bounded and unbounded Bernstein inequalities. In this paper, we discuss the applicability of this approach for dependent data. Moreover, we propose to use the empirical likelihood method both in the case of independent and dependent observations for inference regarding the mean. The advantage of empirical likelihood is its Bartlett correcta…