Search results for "Importance"

An Importance-Performance Matrix Analysis of the Factors Influencing US Tourists to Use Airbnb

2019

After 10 years of Airbnb and its significant growth, this research is conducted to identify which factors really matter to Airbnb users today. It provides an integrated approach, since it aggregates factors that other studies have considered separately. With a sample of 101 US respondents, the partial least squares structural equation modelling results evidence that the only factors that influence future intentions to use Airbnb are its unique and varied accommodations and satisfaction. Enjoyment was also found to have a positive effect on Satisfaction. The study further investigates these factors with an Importance Performance map, providing guidance for the prioritization of managerial ac…

Monte-Carlo Methods

2003

The article conbtains sections titled: 1 Introduction and Overview 2 Random-Number Generation 2.1 General Introduction 2.2 Properties That a Random-Number Generator (RNG) Should Have 2.3 Comments about a Few Frequently Used Generators 3 Simple Sampling of Probability Distributions Using Random Numbers 3.1 Numerical Estimation of Known Probability Distributions 3.2 “Importance Sampling” versus “Simple Sampling” 3.3 Monte-Carlo as a Method of Integration 3.4 Infinite Integration Space 3.5 Random Selection of Lattice Sites 3.6 The Self-Avoiding Walk Problem 3.7 Simple Sampling versus Biased Sampling: the Example of SAWs Continued 4 Survey of Applications to Simulation of Transport Processes 4.…

A weighted logistic regression for conjoint analysis and Kansei engineering

2007

Customer needs for emotional satisfaction are increasingly being considered by product and service designers. While several existing methods such as conjoint analysis (CA), Kano model and quality function deployment support the translation of customer requirements into technical specifications, researchers are now working to develop methods aimed at integrating affective aspects into product design. Kansei engineering (KE) is a design philosophy that considers customer perceptions and emotions by adopting a multi-disciplinary approach. CA is a useful tool within a KE project. This article presents a methodology for conducting a KE project in early development phases. This methodology is bas…

Implementare il patrimonio archivistico: ricostruzione virtuale di una villa non realizzata di Giuseppe Samonà in Sicilia

2023

Questo saggio vuole essere una testimonianza dell’importanza culturale e cognitiva degli archivi (del progetto) intesi come patrimonio pubblico. L’azione di re-immaginarli può costituire un veicolo per la loro conoscenza? Con l’analisi di un caso-studio di un’abitazione non realizzata di un architetto del Novecento come Giuseppe Samonà si prova a verificare l’efficacia degli strumenti digitali per l’interpretazione dell’architettura come mezzi per l’implementazione comunicativa di un archivio.

Item weighted Kemeny distance for preference data

2019

Preference data represent a particular type of ranking data where a group of people gives their preferences over a set of alternatives. The traditional metrics between rankings don’t take into account that the importance of elements can be not uniform. In this paper the item weighted Kemeny distance is introduced and its properties demonstrated.

Design and analysis of discrete choice experiments for models with response time

2013

Prioritisation of alternatives with analytical hierarchy process plus response latency and web surveys

2014

This paper introduces a new method that combines the well-known analytical hierarchy process (AHP) with a response latency metric. The response latency is the time taken by respondents to make choices over pairwise comparisons. The analytical calculation of relative importance weights of the alternatives is made by using a response latency model previously validated in several case studies. This combination aims to overcome some drawbacks of the traditional AHP related to the use of a rating scale (the so-called Saaty scale), and it is a natural way to involve response latency in established decisionmaking methods. This new method can be profitably adopted in web surveys where it is easy to…

Fizisko aktivitāšu nozīme Latvijas iedzīvotāju labklājības veicināšanā

2018

Darba nosaukums ir “Fizisko aktivitāšu nozīme Latvijas iedzīvotāju labklājības veicināšanā”. Darba mērķis ir noskaidrot vai Latvijas iedzīvotāji nodarbojas ar fiziskajām aktivitātēm un, ja nodarbojas, tad kā tas ir saistīts ar noteiktām labklājības dimensijām. Darbā tika izvirzītas četras hipotēzes: (1) Sociāli aktīvi cilvēki biežāk izvēlas nodarboties ar fiziskajām aktivitātēm; (2)Respondenti, kuri nenodarbojas ar fiziskajām aktivitātēm ikdienā izjūt, ka viņiem ir sliktāka veselība; (3)Visretāk izplatītais iemesls, lai nodarbotos ar fiziskajām aktivitātēm, ir labs izskats; (4)Respondenti, kuri nodarbojas ar fiziskajām aktivitātēm, biežāk izjūt pozitīvas emocijas (prieks, laime, bauda). Dar…

Cross Correlations in Scaling Analyses of Phase Transitions

2008

Thermal or finite-size scaling analyses of importance sampling Monte Carlo time series in the vicinity of phase transition points often combine different estimates for the same quantity, such as a critical exponent, with the intent to reduce statistical fluctuations. We point out that the origin of such estimates in the same time series results in often pronounced cross-correlations which are usually ignored even in high-precision studies, generically leading to significant underestimation of statistical fluctuations. We suggest to use a simple extension of the conventional analysis taking correlation effects into account, which leads to improved estimators with often substantially reduced …

Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance

2017

We establish an ordering criterion for the asymptotic variances of two consistent Markov chain Monte Carlo (MCMC) estimators: an importance sampling (IS) estimator, based on an approximate reversible chain and subsequent IS weighting, and a standard MCMC estimator, based on an exact reversible chain. Essentially, we relax the criterion of the Peskun type covariance ordering by considering two different invariant probabilities, and obtain, in place of a strict ordering of asymptotic variances, a bound of the asymptotic variance of IS by that of the direct MCMC. Simple examples show that IS can have arbitrarily better or worse asymptotic variance than Metropolis-Hastings and delayed-acceptanc…