دانلود کتاب آمار و تجزیه و تحلیل داده های علمی

With the third edition of Statistics and Analysis of Scientific Data, I have continued to pursue the goal of providing a textbook that is both mathematically sound and easy to use for practical applications. Data analysis straddles the rigorous fields of statistics and mathematics, and the messy world of experiments and data collection, in a way that makes it often unclear as to where to draw the line between what needs to be done to the data and what should be done according to the available theoretical tools. This textbook aims to treat both the theoretical and practical aspects of several key methods of data analysis, including the limitations of certain common practices, such as the use of the chi-squared statistic for non-Gaussian data. Starting with the second edition, I decided to mark portions of the textbook that are primarily theoretical with a gray sidebar. These parts are not essential for the practice of data analysis, and they can be skipped by the reader who is not interested in its theoretical underpinnings, or by the reader who needs a fast reference for a method that they already know. I find that this is an effectiveway of presenting certain mathematically intensive topics, and I have continued with this practice in the third edition.