My current level of understanding of error/data analysis and statistics is based on the material I covered from Bevington and Taylor's introductory texts. I need something that covers the subject in greater depth now. My motivation comes from my job which is to come up with a better way of fitting and measuring the "goodness of fit" of a procedure. Hence, I need a book that covers several fitting techniques, goodness of fit measurements and outlier/anomalies removal (numerical) methods. Also, I want a book that has an applied mathematics mindset, I do not want a book that covers the mathematics in excruciating detail but does not bothers to give a good practical example. Any suggestions?