Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
M. Abbaszadeh, C. Chesneau and H. Doosti, “Nonparametric Estimation of Density under Bias and Multiplicative Censoring via Wavelet Methods,” Statistics and Probability Letters, Vol. 82, No. 5, 2012, pp. 932-941. doi:10.1016/j.spl.2012.01.016
has been cited by the following article:
TITLE: Wavelet Density Estimation and Statistical Evidences Role for a GARCH Model in the Weighted Distribution
AUTHORS: Mohammad Abbaszadeh, Mahdi Emadi
KEYWORDS: Density Estimation; GARCH Model; Weighted Distribution; Wavelets; Statistical Evidences; Strongly Mixing
JOURNAL NAME: Applied Mathematics, Vol.4 No.2, February 28, 2013
ABSTRACT: We consider n observations from the GARCH-type model: Z = UY, where U and Y are independent random variables. We aim to estimate density function Y where Y have a weighted distribution. We determine a sharp upper bound of the associated mean integrated square error. We also make use of the measure of expected true evidence, so as to determine when model leads to a crisis and causes data to be lost.
Related Articles:
A Multiplicative Bias Correction for Nonparametric Approach and the Two Sample Problem in Sample Survey
Kemtim Tamboun Stephane, Romanus Odhiambo Otieno, Thomas Mageto
DOI: 10.4236/ojs.2017.76073 561 Downloads 999 Views Citations
Pub. Date: December 29, 2017
From Nonparametric Density Estimation to Parametric Estimation of Multidimensional Diffusion Processes
Julien Apala N’drin, Ouagnina Hili
DOI: 10.4236/am.2015.69142 2,543 Downloads 3,003 Views Citations
Pub. Date: August 21, 2015
Wavelet-Based Density Estimation in Presence of Additive Noise under Various Dependence Structures
N. Hosseinioun
DOI: 10.4236/apm.2016.61002 6,314 Downloads 6,739 Views Citations
Pub. Date: January 19, 2016
Erratum to “The Faraday Isolator, Detailed Balance and the Second Law” [Journal of Applied Mathematics and Physics, Vol. 5, No. 4, April 2017 PP. 889-899]
George S. Levy
DOI: 10.4236/jamp.2017.58127 1,447 Downloads 2,789 Views Citations
Pub. Date: August 25, 2017
State Price Density Estimation and Nonparametric Pricing of Basket Options
Yuming Kuang, Tze Leung Lai
DOI: 10.4236/jmf.2015.55038 4,841 Downloads 5,350 Views Citations
Pub. Date: November 30, 2015
