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Today's students need to understand many basic data-handling methods in order to make effective use of the powerful computer programs that are now widely available for analyzing and reducing experimental data. The third edition of Data Reduction and Error Analysis for The Physical Sciences provides a detailed introduction to statistical analysis, data modeling, and least squares fitting as they are applied to experiemental research. It includes a through treatment of techniques for fitting data by the method of least squares , beginning with simple linear fitting procedures and continuing through more complex methods for making non-linear fits.An introduction to data simulation by the Monte Carlo technique is also included. The Level in appropriate for undergraduates and introductory graduate students. No previous background in statistics is required.
