Statistical Analysis of Fluorescence Spectra gives an overview of computational techniques used in analyzing human breast fluorescence spectra and its analytical results, which can be used as one of the technique for early and non-invasive diagnosis of diseases. The first chapter gives overview of computational techniques used to analyze fluorescence spectra of human breast tissues and a brief introduction of material and methods. In second chapter results using wavelet transform are presented. Third chapter contains analysis and results of PCA, SVD, Autocorrelation, ks density, etc. and conclusion is presented in fourth chapter. This book is one of the part, of research done by the author during her Ph.D. work and contains recent references and research work done by researchers all over the world.