Tag: Statistics

Applied Statistics with Python Volume I


Free Download Applied Statistics with Python: Volume I: Introductory Statistics and Regression
English | 2025 | ISBN: 1032751932 | 336 Pages | PDF EPUB (True) | 17 MB
Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.

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A Pen and Paper Introduction to Statistics


Free Download A Pen and Paper Introduction to Statistics by Antonio Marco
English | December 29, 2023 | ISBN: 1032505109 | 160 pages | PDF | 7.22 Mb
Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to learn how to perform statistical tests, and to understand how and why statistical tests work. Although there are many approaches to teaching statistics, a common framework exists between them: starting with probability and distributions, then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests, typically ending with regression analysis (linear models).

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Probability Theory and Statistics with Real World Applications Univariate and Multivariate Models Applications


Free Download Probability Theory and Statistics with Real World Applications: Univariate and Multivariate Models Applications (De Gruyter Textbook) by Peter Zörnig
English | September 3, 2024 | ISBN: 3111332209 | MOBI | 2.52 Mb
The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should also be suitable for self-study, excessive formalism is avoided though mathematical rigor is retained. A deeper insight into the topics is provided by detailed examples and illustrations. The book covers the standard content of a course in probability and statistics. However, the second edition includes two new chapters about distribution theory and exploratory data analysis. The first-mentioned chapter certainly goes beyond the standard material. It is presented to reflect the growing practical importance of developing new distributions. The second new chapter studies intensively one- and bidimensional concepts like assymetry, kurtosis, correlation and determination coefficients. In particular, examples are intended to enable the reader to take a critical look at the appropriateness of the geometrically motivated concepts.

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Applied Statistics and Econometrics Basic Topics and Tools with Gretl and R


Free Download Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R by Bjørnar Karlsen Kivedal
English | April 22, 2024 | ISBN: 3031531418 | 264 pages | MOBI | 38 Mb
This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource.

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis


Free Download Synergies of Soft Computing and Statistics for Intelligent Data Analysis By Christian Borgelt (auth.), Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz (eds.)
2013 | 584 Pages | ISBN: 364233041X | PDF | 11 MB
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness — various types of incomplete or subjective information have to be handled.About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).This book gathers contributions presented at the SMPS’2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis.It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

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Handbook of Scan Statistics


Free Download Handbook of Scan Statistics by Joseph Glaz, Markos V. Koutras
English | May 1, 2024 | ISBN: 1461480329 | 829 pages | MOBI | 69 Mb
Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science.

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Research Methods and Statistics in Psychology


Free Download Research Methods and Statistics in Psychology by Hugh Coolican
English | March 11, 2024 | ISBN: 1032105666 | 852 pages | MOBI | 12 Mb
Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project, giving advice on planning and conducting studies, analysing data and writing up reports, both quantitative and qualitative. It incorporates diversity and includes a large section on cross-cultural psychology methods and issues.

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