Výsledky vyhledávání - "Luke Akong'o Orawo"

Confidence Intervals for the Binomial Proportion: A Comparison of Four Methods

Autor: Luke Akong’o Orawo

Publikováno v: Open Journal of Statistics. 11:806-816

This paper presents four methods of constructing the confidence interval for the proportion p of the binomial distribution. Evidence in the literature indicates the standard Wald confidence interval for the binomial proportion is inaccurate, especial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f14a3f29c09ef89dba1a9dc376f900d5
https://doi.org/10.4236/ojs.2021.115047

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Interval Estimation in a Two Parameter Weibull Distribution Based on Type-2 Censored Data

Autor: Raphael Masila Mweleli, Cox Lwaka Tamba, Justin Obwoge Okenye, Luke Akong’o Orawo

Publikováno v: Open Journal of Statistics. 10:1039-1056

In this paper, we consider the construction of the approximate profile- likelihood confidence intervals for parameters of the 2-parameter Weibull distribution based on small type-2 censored samples. In previous research works, the traditional Wald me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3f8983a08459b4542edefb897a72d15
https://doi.org/10.4236/ojs.2020.106059

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Bayesian Predictive Analyses for Logarithmic Non-Homogeneous Poisson Process in Software Reliability

Autor: Nickson Cheruiyot, Luke Akong’o Orawo, Ali Salim Islam

Publikováno v: OALib. :1-13

This paper discusses the Bayesian approach to estimation and prediction of the reliability of software systems during the testing process. A Non-Homogeneous Poisson Process (NHPP) arising from the Musa-Okumoto (1984) software reliability model is pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90b6ddce14b8df28d5dbbb5d857b33d8
https://doi.org/10.4236/oalib.1104767

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Implementation of the Estimating Functions Approach in Asset Returns Volatility Forecasting Using First Order Asymmetric GARCH Models

Autor: Ali Salim Islam, Timothy Ndonye Mutunga, Luke Akong’o Orawo

Publikováno v: Open Journal of Statistics. :455-464

This paper implements the method of estimating functions (EF) in the modelling and forecasting of financial returns volatility. This estimation approach incorporates higher order moments which are common in most financial time series, into modelling,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bdd3a3a3f58a32acfe0337abf4d9bd77
https://doi.org/10.4236/ojs.2015.55047

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Two-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability

Autor: Ali Salim Islam, Albert Orwa Akuno, Luke Akong’o Orawo

Publikováno v: Open Journal of Statistics. :742-750

The Goel-Okumoto software reliability model is one of the earliest attempts to use a non-homogeneous Poisson process to model failure times observed during software test interval. The model is known as exponential NHPP model as it describes exponenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e4c877c4de29821b02a6768078ed6b69
https://doi.org/10.4236/ojs.2014.49069

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Efficiency of the Adaptive Cluster Sampling Designs in Estimation of Rare Populations

Autor: Luke Akong’o Orawo, Ali Salim Islam, Charles Wambugu Mwangi

Publikováno v: Open Journal of Statistics. :412-418

Adaptive cluster sampling (ACS) has been a very important tool in estimation of population parameters of rare and clustered population. The fundamental idea behind this sampling plan is to decide on an initial sample from a defined population and to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6498f17790ee6f9eb4d08436b96692b4
https://doi.org/10.4236/ojs.2014.45040

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One-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability

Autor: Albert Orwa Akuno, Luke Akong’o Orawo, Ali Salim Islam

Publikováno v: Open Journal of Statistics. :402-411

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb930c136c1ba32b4f3b52b25afd5b79
https://doi.org/10.4236/ojs.2014.45039

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Bayesian sequential analysis for multiple-arm clinical trials

Autor: J. Andrés Christen, Luke Akong'O Orawo

Publikováno v: Statistics and Computing. 19:99-109

Use of full Bayesian decision-theoretic approaches to obtain optimal stopping rules for clinical trial designs typically requires the use of Backward Induction. However, the implementation of Backward Induction, apart from simple trial designs, is ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38aeb3408cfef61665c66d07d201633f
https://doi.org/10.1007/s11222-008-9074-y

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Regression Approach to Parameter Estimation of an Exponential Software Reliability Model

Autor: Timothy Mutunga Ndonye, Albert Orwa Akuno, Janiffer Mwende Nthiwa, Luke Akong’o Orawo

Publikováno v: American Journal of Theoretical and Applied Statistics. 5:80

Mathematical studies about the likelihood of failures of software systems have been advanced by various researchers. These studies have modeled the behavior of software systems by using failure times and time between failures in the past. The Goel-Ok

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::386eade788d2915d0c4e73f82f6952c0
https://doi.org/10.11648/j.ajtas.20160503.11

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