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  • Search: person:"Kantam, R.R.L."
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Year of publication
Subject
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Analysis of means 1 Consumer's Risk 1 Exponentiated log-logistic distribution 1 Half logistic distribution 1 Log-logistic distribution 1 Logistic data processing 1 Operating Characteristic (OC) Function 1 Producer's Risk 1 QQ-Plot 1 Q‐Q plot 1 Rayleigh distribution 1 Sampling plans 1 Statistical distribution 1 Statistics 1 Statistische Verteilung 1 Truncated Life Tests 1 Truncated life tests 1 acceptance sample number 1 producer's risk 1 reliability test plan 1 reliability test plans 1
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Undetermined 15
Type of publication
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Article 17
Type of publication (narrower categories)
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research-article 5 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 11 English 6
Author
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Kantam R. R. L. 8 Kantam, R. R. L. 7 Rao, G. Srinivasa 4 Srinivasa, Rao G. 4 Rosaiah, K. 3 Boyapati, Srinivasa Rao 2 Kantam, R.R.L. 2 Rosaiah K. 2 Kumar, Santosh 1 Priya M. Ch. 1 Rao Boyapati, Srinivasa 1 Santosh, Kumar 1 Srinivasa Rao B. 1 Srinivasa, Rao B. 1 Sriram, B. 1 Vasudeva, Rao A. 1
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Published in...
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Economic Quality Control 8 Stochastics and Quality Control 4 International journal of quality & reliability management 2 Journal of Applied Statistics 2 International Journal of Quality & Reliability Management 1
Source
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RePEc 10 Other ZBW resources 5 ECONIS (ZBW) 1 OLC EcoSci 1
Showing 1 - 10 of 17
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Acceptance Sampling Plans for Percentiles Assuming the Linear Failure Rate Distribution
Srinivasa Rao B.; Priya M. Ch.; Kantam R. R. L. - In: Economic Quality Control 29 (2014) 1, pp. 9-9
In this article , acceptance sampling plans are developed for the Linear Failure Rate Distribution percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumerś risk. The...
Persistent link: https://www.econbiz.de/10011015854
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Extreme value charts and analysis of means based on half logistic distribution
Rao Boyapati, Srinivasa; Kantam, R.R.L. - In: International Journal of Quality & Reliability Management 29 (2012) 5, pp. 501-511
Purpose – The purpose of this paper is to examine extreme value charts and analyse means based on half logistic distribution. Design/methodology/approach – Variable control charts with subgroup observations based on the extreme values at each subgroup are constructed without specially going...
Persistent link: https://www.econbiz.de/10014800699
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Extreme value charts and analysis of means based on half logistic distribution
Boyapati, Srinivasa Rao; Kantam, R. R. L. - In: International journal of quality & reliability management 29 (2012) 5, pp. 501-511
Persistent link: https://www.econbiz.de/10009570892
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Extreme value charts and analysis of means based on half logistic distribution
Boyapati, Srinivasa Rao; Kantam, R.R.L. - In: International journal of quality & reliability management 29 (2012) 5, pp. 501-512
Persistent link: https://www.econbiz.de/10009972119
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Significance Test for the Half Logistic Distribution
Srinivasa, Rao B.; Kantam R. R. L. - In: Economic Quality Control 26 (2011) 1, pp. 53-62
Moments of order statistics and an ordered sample are used to define a test statistic for the null hypothesis that the considered random variable has half logistic distribution. The percentiles of the test statistic are evaluated and the power of the test is computed. The developed statistic is...
Persistent link: https://www.econbiz.de/10010736179
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Acceptance Sampling Plans from Truncated Life Tests Based on the Log-Logistic Distributions for Percentiles
Srinivasa, Rao G.; Kantam R. R. L. - In: Economic Quality Control 25 (2010) 2, pp. 153-167
In this article, acceptance sampling plans are developed for the log-logistic distribution percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given customer's risk. The operating...
Persistent link: https://www.econbiz.de/10010736214
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Reliability Test Plans for Exponentiated Log-Logistic Distribution
Rosaiah, K.; Kantam, R. R. L.; Kumar, Santosh - In: Stochastics and Quality Control 21 (2006) 2, pp. 279-289
Abstract A generalization of the log-logistic distribution called exponentiated log-logistic distribution (in lines of exponentiated Weibull distribution suggested by Mudholkar and Srivastava [Technometrics 37: 436-445, 1995]) is considered. In this paper the operating characteristic for a...
Persistent link: https://www.econbiz.de/10014590818
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An economic reliability test plan: Log-logistic distribution
Kantam, R. R. L.; Rao, G. Srinivasa; Sriram, B. - In: Journal of Applied Statistics 33 (2006) 3, pp. 291-296
Sampling plans in which items that are put to test, to collect the life of the items in order to decide upon accepting or rejecting a submitted lot, are called reliability test plans. The basic probability model of the life of the product is specified as the well-known log-logistic distribution...
Persistent link: https://www.econbiz.de/10005458391
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Reliability Test Plans for Exponentiated Log-Logistic Distribution
Rosaiah K.; Kantam R. R. L.; Santosh, Kumar - In: Economic Quality Control 21 (2006) 2, pp. 279-289
A generalization of the log-logistic distribution called exponentiated log-logistic distribution (in lines of exponentiated Weibull distribution suggested by Mudholkar and Srivastava [Technometrics 37: 436-445, 1995]) is considered. In this paper the operating characteristic for a sampling plan...
Persistent link: https://www.econbiz.de/10010736144
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Control Charts for the Log-Logistic Distribution
Kantam R. R. L.; Vasudeva, Rao A.; Srinivasa, Rao G. - In: Economic Quality Control 21 (2006) 1, pp. 77-86
This paper deals with the log-logistic distribution as a life time model. Control charts and the corresponding control limits are developed analogous to Shewhart-charts for the process mean and process range. The proposed control limits are compared with those of Shewhart in detecting out of...
Persistent link: https://www.econbiz.de/10010736207
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