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>>
R. Royall, “Statistical Evidence,” A Likelihood Paradigm, Chapman and Hall, London, 1997.
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:
Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood
Shuling Wang, Xiaohong Deng, Lin Zheng
DOI: 10.4236/ns.2014.610074 3,914 Downloads 4,656 Views Citations
Pub. Date: June 18, 2014
The Triggering Role of Carrier Mobility in the Fractional Quantum Hall Effect Formation—An Evidence in Graphene
Janusz Jacak, Lucjan Jacak
DOI: 10.4236/jmp.2013.412196 3,052 Downloads 4,337 Views Citations
Pub. Date: December 19, 2013
Direct Experimental Evidence of the Statistical Nature of the Electron Gas in Superconducting Films
Mario Iannuzzi, Massimiliano Lucci, Ivano Ottaviani
DOI: 10.4236/jmp.2014.516170 3,066 Downloads 3,435 Views Citations
Pub. Date: October 30, 2014
Analyzing Anomalous Topographic Map Drainage System and Landform Evidence as a Glacial History Paradigm Problem: A Literature Review
Eric Clausen
DOI: 10.4236/ojg.2020.1011052 51 Downloads 134 Views Citations
Pub. Date: November 27, 2020
Use of a Weight of Evidence Approach to Determine the Likelihood of Adverse Effects on Human Health from the Presence of Uranium Facilities in Port Hope, Ontario
Rachel Lane, Patsy Thompson, Michael Ilin, Marcelle Phaneuf, Julie Burtt, Pascale Reinhardt
DOI: 10.4236/jep.2011.29134 4,217 Downloads 7,359 Views Citations
Pub. Date: November 4, 2011
