Using　compactly　supported　wavelets,　Chaubey　et　al　consider　L-2-risk　estimation　for　mixed　density　under　multiplicative　censoring　(Chaubey　YP,　Chesneau　C,　Doosti　H.　Adaptive　wavelet　estimation　of　a　density　from　mixtures　under　multiplicative　censoring.　Statistics,　2015,　49:　638-659).　In　this　paper,　we　try　to　discuss　L-p-risk　(1　＜=　p＜infinity)　estimation　for　that　statistical　model　of　the　linear　and　nonlinear　wavelet　estimators　respectively.　Our　results　can　be　seen　as　an　extension　of　the　work　of　Chaubey　et　al.