Processing of the results of multiple measurements. Verification of compliance of the experimental distribution with the normal (gauss) r

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The book "Processing the results of multiple measurements. Verification of the compliance of the experimental distribution with the normal (Gaussian) p" is a fascinating and in-depth study that will become an indispensable assistant for anyone interested in statistics, experimental data and their analysis. This work, created by a team of authors, is not just a textbook, but a real encyclopedia of knowledge that covers a wide range of topics related to data processing and analysis. The focus of the book is an important task - to check the compliance of the experimental distribution with the normal (Gaussian) distribution .. This is a key topic in statistics, since many statistical methods and theories are based on the assumption of the normal distribution of data. The authors examine in detail various methods and approaches to investigate how closely the experimental data meet theoretical expectations. The reader will be able to learn about such methods as Shapiro-Wilk, Kolmogorov-Smirnov and others, which will allow him to independently apply these methods in his practice. The book will be especially useful for students and graduate students studying statistics, physics, engineering and other sciences, where analysis of experimental data is required. It will also attract the attention of researchers and practitioners working in the field of medicine, social sciences and other disciplines where the accuracy and reliability of the results are important. If you are looking for a deep understanding of statistical methods and want to improve your skills in data processing, this book will become your reliable companion. Topics raised in the book range from the basics of statistics to complex analysis methods. The authors emphasize the importance of choosing the right methods for checking normality, as well as the consequences that may arise from ignoring this aspect. They share practical examples and illustrations, which makes the material accessible and understandable even for those who are just starting their way in the world of statistics. The book not only teaches, but also inspires, offering the reader to look at statistics as a powerful tool that can reveal the secrets of data. The style of the authors is distinguished by clarity and logical presentation, which makes it easy to assimilate even the most complex concepts. They use many examples from real practice, which makes the material more lively and relevant. The team of authors includes experts in the field of statistics and data analysis, which gives the book additional value and authority. If you are interested in books such as “Statistics for Dummies” or “Applied Statistics”, then “Multiple Measurement Results Processing” will be an excellent addition for you. It will not only increase your knowledge, but also help you become more confident in working with data. Readers who are looking for a deep and systematic approach to the analysis of experimental data will find in this book many useful ideas and practical recommendations. Finally, "Processing the results of multiple measurements. Verification of the experimental distribution to normal (Gaussian) p" is not just a book, but a whole world of knowledge that is waiting to be discovered. It will become your reliable assistant in research activities and will help you to confidently walk the path of data analysis. Do not miss the opportunity to immerse yourself in the exciting world of statistics and discover new horizons in processing the results of multiple measurements!
LF/1268772/R
Data sheet
- Name of the Author
- Collective of authors
- Language
- Russian
- Release date
- 2017