Volume 31 (2020)
Volume 30 (2019)
Volume 29 (2018)
Volume 28 (2017)
Volume 27 (2016)
Volume 26 (2015)
Volume 25 (2014)
Volume 24 (2013)
Volume 23 (2012)
Volume 22 (2011)
Volume 21 (2010)
Volume 20 (2009)
Volume 19 (2008)
Volume 18 (2007)
Volume 17 (2006)
Volume 16 (2005)
Volume 15 (2004)
Volume 14 (2003)
Volume 13 (2002)
Volume 12 (2001)
Volume 11 (2000)
Volume 10 (1999)
Volume 9 (1998)
Volume 8 (1997)
Volume 7 (1996)
Volume 6 (1995)
Volume 5 (1994)
Volume 4 (1993)
Volume 3 (1992)
Volume 2 (1991)
Volume 1 (1990)
Volume 1 (1989)
1. A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data

P. Asghari; V. Fakoor; M. Sarmad

Volume 26, Issue 3 , Summer 2015, , Pages 265-272

Abstract
  Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed Berry-Esseen ...  Read More

2. Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data

V. Fakoor

Volume 25, Issue 1 , Winter 2014, , Pages 57-67

Abstract
  Kernel density estimators are the basic tools for density estimation in non-parametric statistics.  The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. ...  Read More

3. Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling

M. Ajami; V. Fakoor; S. Jomhoori

Volume 24, Issue 1 , Winter 2013, , Pages 55-62

Abstract
  In this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [10]. All simulations are drawn for different ...  Read More