استخدام نموذج الانحدار الموجي المرکب في تحسين تقدير جد الاحتفاظ الامثل بشرکات التامين "دراسة تطبيقية "


1- Adem Ciarleglio &R.Tood Ogden, ”Wavelet – Based Scalar on function finite Mixture regression models", biostatistics ,New York,University ,2013.
2- Amera Graps,”An Introduction in Wavelet “, Institute of electronics engineers, Vol 2, 2013.
3- C.Sidney Burnus, Ramesh,” Introduction to Wavelet and Wavelet Transforms, Rice University Houston,2008.
4- Carios pestana &et al, ”Efficiency Determinants and Capacity issues in Angolan Insurance Companies”, Economic Society of South African, Journal of Economics, Vol.12, No.4, 2014.
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5- Debanshee Datta, “Wavelet analysis Based Estimation of probability Density function of Wind Data", International Journal of energy, Information and Communications, Vol.5, Issue 3, 2014.
6- D.A.Goodwin &et al, ”Modeling and predicting flow regimes using wavelet representions of ERT data”, World Congress on Industrial process Tomography ,Aizu,Japan,2015.
7- Donald B&Muying and James,”An Introduction to Wavelet Analysis with Application to vegetation Time Series” ,University of Washington ,2004.
8- J.S.Marron &et al, ”Exact Risk analysis of Wavelet Regression”, Journal of Computational and Graphical Statistical, Vol.7, No.3, 2008.
9- Jan Adamowski &HiuFung,”A Wavelet neural network conjunction model for ground water level forecasting “,Journal of Hydrology,2011.
10- Jan Adamowski &et al ,”Development of Coupled Wavelet transform and neural network method for flow forecasting of non –perennial rivers in semi-arid watersheds”.J.Hydrol,390,2010.
11- Jan Adamowski &et al ,”Comparison of multiple linear and nonlinear regression , autogressive integrated moving average ,artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal” ,Canda,Water Resource ,Res.48,2012.
12- Jiehan Zhu & Ping Jing ,”The analysis of Bootstrap Method in Linear Regression Effect", Journal of Mathematics Research ,Vol.2.No.4,2010.
13- Jian Zhang &al,”Wavelt Network Model Based on Multiple Criteria Decision Making for Forecasting Temperature time Series”,Hindawi publishang Corporation ,Mathematical problem in Enginering,2015.
38
14- John Fox &Sanford Weisberg, "Bootstrapping Regression
Models”,John Wiley & Sons,Hoboken,NJ,Second Edition , 2012.
15- Kaz Adamowski&et al,”Weekly urban water demand forecasting using a hybrid Wavelet-Bootstrap-artificial neural network approch”,Annals of warsaw University of Life Science ,SGGW,Land Reclam,Vol.46,No.3 ,2014.
16- Lee, K,Palmer, and Shiper,"An analysis of life insurance Retention Limits" ,The Journal of Risk and insurance , March ,2009.
17- Leven, Howard,”Robust Tests for Equality of Variances”,Stanford univerisity press ,2006.
18- Lifeng Li& Gang Tian,”An Improve wavelet relevance vector regression algorithm for water Resource Demand prediction”, Journal of Information & Computational Science, Vol.9, No.1, 2012.
19- Milan Basta,”Wavelet –Based Test for Time Series Non-Stationarity”Statistic,Univer sity of Economic, Prague, 2015.
20- Ming Chang Lee &Li Er Su,” Comparison of wavelet Network and logistic regression in predicting enterprise financial distress”, International Journal of Computer science & Information Technology, Vol 7, No.3, 2015.
21- Mukesh K.Tiwari&Jan F.Adamowski,”Medium-Term Urban Water Demand Forcasting With Limited Data Using an Ensemble Wavelet –Bootstrap Machine –Learning Approach”, Water Resour,plann, Management, Academic Journal ,Canada ,2015.
22- Oh,S.H.,Naveau,P.,Lee,G.,”Polynomial Boundary Treatment for Wavelet Regression “,Biometrica ,88,1,2001.
23- Rajeev R Sahay,”Coupled wavelet – auto regression models for predicting monsoon flows for the kosi River(India)”,IOSR, Journal of Mechanical and Civil Engineering ,2014.
39
24- Ramazan Gengay ,Faruk and Brandon ,”An Introduction to Wavelet and other filtering Methods in Finance and Economics ,2002.
25- Sehgal S.& et al, ”Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting”, Water Resources Management ,Academic Journal,Vol.28,Issue 10,2014.
26- Stuart Barhar and Guy p Nason,”Real nonparametric regression using complex wavelets “, University of Bristol UK, may 9, 2006.
27- Tasia Hickmann& et al,”A Combination of Wavelet Artificial Neural Networks Integrated with Bootstrap Sampler in Time Series prediction”, Research and Application, Vol.5, Issue 11, 2015.
28- Vinit Sehgal &et al, "Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for daily River discharge forecasting “, Water Resource Manage, No.28, 2014.