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Article
Publication date: 1 September 2005

Rezaul Karim and Kazuyuki Suzuki

To provide a brief survey of the literature directed towards the analysis of warranty claim data.

3209

Abstract

Purpose

To provide a brief survey of the literature directed towards the analysis of warranty claim data.

Design/methodology/approach

For convenience, this survey of the analysis of warranty claims data is somewhat arbitrarily be classified by topics as follows: age‐based claims analysis, aggregated warranty claims analysis, marginal counts of claims analysis, warranty claims analysis by using covariates, estimation of lifetime distribution using supplementary data, two‐dimensional warranty, warranty costs analysis, sales lag and reporting lag analysis, and forecasts of warranty claims.

Findings

Emphasis is placed on a discussion of different kinds of warranty claims data selected from reviews and on a comparison of the statistical models and methods used to analyze such data.

Research limitations/implications

Since the literature on product warranty data is vast, more work on this problem is needed.

Practical implications

This review points out why warranty claims data is important and gives a survey of the literature pertaining to the analysis of such data. The emphasis is on the analysis of minimal databases of real warranty data, constructed by combining information from different sources, which can be collected economically and efficiently through service networks. The research is applicable for those responsible for product reliability, product design decisions and warranty management in manufacturing industries.

Originality/value

The paper reviews different statistical models and methods used to analyze warranty claims data. The statistical models and methods presented are be valuable and meaningful tools for product reliability and warranty management and analysis.

Details

International Journal of Quality & Reliability Management, vol. 22 no. 7
Type: Research Article
ISSN: 0265-671X

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Book part
Publication date: 14 November 2022

Karen McGregor Richmond

Abstract

Details

Marketisation and Forensic Science Provision in England and Wales
Type: Book
ISBN: 978-1-83909-124-7

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Article
Publication date: 25 June 2020

Naci Akdemir and Christopher James Lawless

The purpose of this study was to explore human factors as the possible facilitator of cyber-dependent (hacking and malware infection) and cyber-enabled (phishing) crimes…

4273

Abstract

Purpose

The purpose of this study was to explore human factors as the possible facilitator of cyber-dependent (hacking and malware infection) and cyber-enabled (phishing) crimes victimisation and to test the applicability of lifestyle routine activities theory (LRAT) to cybercrime victimisation.

Design/methodology/approach

A mixed methods research paradigm was applied to address the research questions and aims. The data set of Crime Survey of England and Wales (CSEW) 2014/2015 and 42 semi-structured interviews conducted with victims of cybercrime and non-victim control group participants were analysed via binary logistic regression and content analyses methods.

Findings

This research illustrated that Internet users facilitated their victimisation through their online activities. Additionally, using insecure Internet connections and public access computers emerged as risk factors for both cyber-enabled and cyber-dependent crime victimisation. Voluntary and involuntary personal information disclosure through social networking sites and online advertisement websites increased the likelihood of being a target of phishing. Deviant online activities such as free streaming or peer-to-peer sharing emerged to increase the risk of cyber-dependent crime victimisation.

Research limitations/implications

The binary logistic regression analysis results suggested LRAT as a more suitable theoretical framework for cyber-dependent crime victimisation. Future research may test this result with models including more macro variables.

Practical implications

Policymakers may consider implementing regulations regarding limiting the type of information required to login to free Wi-Fi connections. Checking trust signs and green padlocks may be effective safeguarding measures to lessen the adverse impacts of impulsive buying.

Originality/value

This study empirically illustrated that, besides individual-level factors, macro-level factors such as electronic devices being utilised to access the Internet and data breaches of large companies also increased the likelihood of becoming the victim of cyber-enabled and cyber-dependent crime.

Details

Internet Research, vol. 30 no. 6
Type: Research Article
ISSN: 1066-2243

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Available. Content available
Article
Publication date: 20 April 2012

J. Lawless

438

Abstract

Details

Development and Learning in Organizations: An International Journal, vol. 26 no. 3
Type: Research Article
ISSN: 1477-7282

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Book part
Publication date: 10 April 2019

Antonio Cosma, Andreï V. Kostyrka and Gautam Tripathi

We show how to use a smoothed empirical likelihood approach to conduct efficient semiparametric inference in models characterized as conditional moment equalities when data are…

Abstract

We show how to use a smoothed empirical likelihood approach to conduct efficient semiparametric inference in models characterized as conditional moment equalities when data are collected by variable probability sampling. Results from a simulation experiment suggest that the smoothed empirical likelihood based estimator can estimate the model parameters very well in small to moderately sized stratified samples.

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Book part
Publication date: 10 April 2019

Heng Chen and Q. Rallye Shen

Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and…

Abstract

Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and ensure consistency with external population counts, the observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for randomness from both the sampling design and raking procedure. We find that the variance is smaller when estimated through the bootstrap resampling method than through the naive linearization method, where the latter does not take into account the correlation between the variables used for weighting and the outcome variable of interest.

Details

The Econometrics of Complex Survey Data
Type: Book
ISBN: 978-1-78756-726-9

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Article
Publication date: 14 May 2018

Sepideh Eskandari Dorabati, Ali Zeinal Hamadani and Hamed Fazlollahtabar

Due to the fact that the non-standard products, being used by customers, may cause failures in products with sales delays, which naturally affect the warranty policy. Thus, it…

111

Abstract

Purpose

Due to the fact that the non-standard products, being used by customers, may cause failures in products with sales delays, which naturally affect the warranty policy. Thus, it seems to be necessary to study these two concepts simultaneously. The paper aims to discuss these issues.

Design/methodology/approach

In this paper, a model is developed for estimating the expected warranty costs under sales delay conditions when two operator costs (failing but not reported and non-failing but reported) are included.

Findings

The proposed model is validated using a numerical example for a two types of intermittent and fatal failures occur under a non-renewing warranty policy.

Originality/value

Sales delay is the time interval between the date of production and the date of sale. Most reported literature on warranty claims data analysis related to sales delay have mainly focussed on estimating the probability distribution of the sales delay.

Details

Journal of Quality in Maintenance Engineering, vol. 24 no. 2
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 5 June 2007

F.A.M. Elfaki, I. Bin Daud, N.A. Ibrahim, M.Y. Abdullah and M. Usman

Cox's model with Weibull distribution and Cox's with exponential distribution are the most important models in reliability analysis. This paper seeks to show that, with a large…

679

Abstract

Purpose

Cox's model with Weibull distribution and Cox's with exponential distribution are the most important models in reliability analysis. This paper seeks to show that, with a large sample size based on expectation maximization (EM) algorithm, both models give similar results.

Design/methodology/approach

The parameters of the models have been estimated by method of maximum likelihood based on EM algorithm. The objective of this analysis is to fit the modification of Cox's model with Weibull distribution and Cox's with exponential distribution, examine its performance and compare their results with Crowder et al.

Findings

A simulation study indicates that the parametric Cox's model with Weibull distribution gives similar results to Cox's with exponential distribution, especially for a large sample size. Also, the modification of the two models showed better results compared with Crowder et al., especially for the second causes of failure.

Originality/value

A modification of the two competing risk models has mostly been applied in failure time data and simulation data. The results of the simulation study indicate that the Weibull and exponential are suitable for Cox's model as they are easy to use and it can achieve even higher accuracy compared with other distribution models.

Details

Engineering Computations, vol. 24 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 24 May 2011

Satadal Ghosh and Sujit K. Majumdar

The purpose of this paper is to provide the maintenance personnel with a methodology for modeling and estimating the reliability of critical machine systems using the historical…

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Abstract

Purpose

The purpose of this paper is to provide the maintenance personnel with a methodology for modeling and estimating the reliability of critical machine systems using the historical data of their inter‐failure times.

Design/methodology/approach

The failure patterns of five different machine systems were modeled with NHPP‐log linear process and HPP belonging to stochastic point process for predicting their reliability in future time frames. Besides the classical approach, Bayesian approach was also used involving Jeffreys's invariant non‐informative independent priors to derive the posterior densities of the model parameters of NHPP‐LLP and HPP with a view to estimating the reliability of the machine systems in future time intervals.

Findings

For at least three machine systems, Bayesian approach gave lower reliability estimates and a larger number of (expected) failures than those obtained by the classical approach. Again, Bayesian estimates of the probability that “ROCOF (rate of occurrence of failures) would exceed its upper threshold limit” in future time frames were uniformly higher for these machine systems than those obtained with the classical approach.

Practical implications

This study indicated that, the Bayesian approach would give more realistic estimates of reliability (in future time frames) of the machine systems, which had dependent inter‐failure times. Such information would be helpful to the maintenance team for deciding on appropriate maintenance strategy.

Originality/value

With the help of Bayesian approach, the posterior densities of the model parameters were found analytically by considering Jeffreys's invariant non‐informative independent prior. The case study would serve to motivate the maintenance teams to model the failure patterns of the repairable systems making use of the historical data on inter‐failure times and estimating their reliability in future time frames.

Details

International Journal of Quality & Reliability Management, vol. 28 no. 5
Type: Research Article
ISSN: 0265-671X

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Book part
Publication date: 6 December 2024

Geneva Gudmundson, jay johnson, Jessica W. Chin and Margery Holman

With social media use on the rise and little indication that sport team hazing ceremonies are declining, the amount and types of exposure and awareness of hazing and its…

Abstract

With social media use on the rise and little indication that sport team hazing ceremonies are declining, the amount and types of exposure and awareness of hazing and its potentially detrimental impacts are shifting for athletes, the public and school administrators alike. This chapter describes relationships between hazing in sport and social media use in university athletics. These two areas of research have been investigated separately but warrant a closer examination to understand how they are intertwined. In this analysis, we include findings from our larger national-scale sport hazing study that produced a second stream of data specific to social media use. Data are derived from interviews with university athletic directors, coaches and athletes to spotlight: (1) uses of social media in the context of athletics, (2) their understanding of social media's relationship to hazing and (3) experiences with social media and hazing education. We also present recommendations provided by the researchers, and athletes, coaches and athletic directors, for athletic administration use in developing educational and informational resources that address the interconnections between social media use and hazing. This chapter describes how athletic departments and coaches perceived and (dis)engaged from discussions around social media, the ways that university athletes and teams engaged in hazing practices, the diversified and multiple uses of social media on teams differing by gender, highlighting a (lack) of educational programming provided for athletes by their university athletic departments centred around social media use and sport hazing as both separate and interconnected topics.

Details

Cultures of Sport Hazing and Anti-Hazing Initiatives for the 21st Century
Type: Book
ISBN: 978-1-83753-556-9

Keywords

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