ISSN: 2375-3943
American Journal of Computation, Communication and Control  
Manuscript Information
 
 
Record Values from Size-Biased Half Normal Distribution: Properties and Recurrence Relations for the Single and Product Moments
American Journal of Computation, Communication and Control
Vol.5 , No. 1, Publication Date: Jan. 8, 2018, Page: 1-6
1314 Views Since January 8, 2018, 503 Downloads Since Jan. 8, 2018
 
 
Authors
 
[1]    

Shakila Bashir, Department of Statistics, Forman Christian College a Chartered University, Lahore, Pakistan.

[2]    

Mujahid Rasul, Department of Statistics, Forman Christian College a Chartered University, Lahore, Pakistan.

 
Abstract
 

In this paper the size-biased form of half normal distribution is considered for upper record values that can be used only for non-negative values. Some properties of the UR-SHND as cdf, mean, variance, skewness, kurtosis, mode, Shannon entropy, survival function, hazard function have been derived. The joint pdf of the UR-SHND is developed and covariance of the joint upper record values is derived. It is concluded that there is positive correlation between upper record values from SHND. Some recurrence relations for the single and product moments are developed. These relations can be used to derive the moments of the UR-SHND in a simple recursive manner.


Keywords
 

pdf, cdf, SHND, UR-SHND, SHANNON Entropy, Recurrence Relations, Hazard Function


Reference
 
[01]    

Ahsanullah, M. and Kirmani, S. N. U. A. (1991). Characterizations of the Exponential distribution through a lower record, Comm. Statist. Theory Methods 20 (4), 1293-1299.

[02]    

Ahsanullah, M. (1978). Record values and exponential distribution, Ann. Inst. Statist. Math. 30, 429-433.

[03]    

Ahsanullah, M. (1982). Characterization of the Exponential distribution by some properties of the record values, Statist. Hefte 23, 326-332.

[04]    

Ahsanullah, M. (1995). Record Statistics, Nova Science Publishers, USA.

[05]    

Alzaid, A. A. and Ahsanullah, M. (2006). A Characterization of the Gumbel Distribution Based on Record Values. Communications in Statistics - Theory and Methods, 32 (11), 2101-2108.

[06]    

Arthur Pewsey (2002). Large sample inference for the general half normal distribution, Communication in statistics-theory and methods, DOI: 10.1081/STA-120004901.

[07]    

Awad, A. M. and Raqab, M. Z. (2000). Prediction Intervals for the future Record values from Exponential Distribution: Comparative Study. Journal of Statistical Computation and Simulation 65 (4), 325-340.

[08]    

Balakrishnan, N. and Ahsanullah, M. (1995). Relations for single and product moments of record values from exponential distribution, J. Appl. Statist. Sci. 2 (1), 73-87.

[09]    

Basak, P. (1996). Lower Record values and Characterizations of Exponential Distribution. Cal. Stat. Asso. Bull. 46, 1-7.

[10]    

Byers, R. H. (2005). Half-Normal Distribution. Encyclopedia of Biostatistics. Atlanta, GA, USA. DOI: 10.1002/0470011815.b2a15052.

[11]    

Castro, L. M., GóMez, H. W. and Valenzuela, M. (2012). Epsilon half-normal model: Properties and inference. Computational Statistics & Data Analysis, 56 (12), 4338-4347.

[12]    

Chandler, K. N. (1952). The distribution and frequency of record values, J. Roy. Statist. Soc., Ser. B 14, 220-228.

[13]    

Cooray, K. and Ananda, M. M. A. (2008). A generalization of the half-normal distribution with applications to lifetime data. Communication in Statistics - Theory and Methods 37, 1323-1337.

[14]    

Fisher, R. A. (1934). The effects of methods of ascertainment upon the estimation of frequencies. Annals of Eugenics 6, 13-25.

[15]    

Khan, M. A. and Islam, H. M. (2012), Bayesian Analysis of System Availability with Half-Normal Life Time, Quality Technology & Quantitative Management, 9 (2), 203-209.

[16]    

Khan, M. A. and Islam, H. M. (2012). on system reliability for multi-component half normal life time, Electronic Journal of Applied Statistical Analysis, 5 (1), 132-136. e-ISSN 2070-5948, DOI 10.1285/i20705948v5n1p132.

[17]    

Kirmani, S. N. U. A. and Beg, M. I. (1984). On Characterization of distribution by expected records, Sankhya, A 46 (3), 463-465.

[18]    

Kumar, D., Dey, T. and Dey, S. (2017). Statistical inference of exponentiated moment exponential distribution based on lower record values. Commun. Math. Stat., 5, 231-260.

[19]    

Lu, X., Gui, W and Yan, J (2013). Acceptance Sampling Plans for Half-Normal Distribution Under Truncated Life Tests, American Journal of Mathematical and Management Sciences, 32 (2), 133-144.

[20]    

Nagaraja, H. N. (1982). Record Values and Extreme Value Distributions. Journal of Applied Probability, 19 (1), 233-239.

[21]    

Nogales, A. G. and Pérez, P. (2015). Unbiased Estimation for the General Half-Normal Distribution, Communication in statistics-theory and methods, 44 (17), 3658-3667.

[22]    

Patil G. P. and Rao, C. R. (1978). Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families, BIOMETRICS 34, 179-189.

[23]    

Seo, J. I. and Kim, Y. (2016). Statistical inference on Gumbel distribution using record values. Journal of the Korean Statistical Society, 45 (3), 342-357.

[24]    

Shahbaz et al. (2010). On distribution of bivariate concomitants of records. Applied Mathematic Letters, 23, 567-570.

[25]    

Sultan, K. S. (2007). Record Values from the Modified Weibull Distribution and Applications. International Mathematical Forum, 2 (41), 2045-2054.

[26]    

Wiper, M. P., Girón, F. J. and Pewsey, A. (2005). Bayesian inference for the half-normal and half-t distributions, Working Paper 05-47, Statistics and Econometrics Series 09.





 
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