Free Download Advanced Statistical Methods with Python for Quantitative Finance: A Comprehensive Guide for 2025 by Hayden Van Der Post, Reactive Publishing, Alice Schwartz
English | January 6, 2025 | ASIN: B0DSDX84XK | 472 pages | EPUB | 2.30 Mb
Reactive Publishing

Free Download Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering) by Michael R. King, Nipa A. Mody
English | November 29, 2010 | ISBN: 0521871581 | 594 pages | PDF | 7.33 Mb
The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

Free Download On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling By Addisson Salazar (auth.)
2013 | 186 Pages | ISBN: 3642307515 | PDF | 4 MB
A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been exploiting higher-order information. Thus, high-order spectral analysis and nonlinear adaptive filtering have received the attention of many researchers. One of the most successful techniques for non-linear processing of data with complex non-Gaussian distributions is the independent component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which unifies a certain number of pattern recognition tasks allowing generalization. The versatile and powerful framework developed in this work can deal with data obtained from quite different areas, such as image processing, impact-echo testing, cultural heritage, hypnograms analysis, web-mining and might therefore be employed to solve many different real-world problems.

Free Download Fundamental Statistical Methods for Analysis of Alzheimer’s and Other Neurodegenerative Diseases
English | 2020 | ISBN: 142143671X | 481 Pages | PDF (True) | 7 MB
Alzheimer’s disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer’s and other neurodegenerative diseases.

Free Download Defect Prevention: Use of Simple Statistical Tools
English | 2023 | ISBN: 0824778871 | 710 Pages | PDF EPUB (True) | 81 MB
This book discusses statistical process control (SPC) concepts, emphasizing the need to establish stability of work processes. It gives the elements required to develop a defect prevention system (DPS), and integrates the application of process control and problem analysis tools.

Free Download Statistical Thermodynamics
by Christopher Aubin
English | 2024 | ISBN: 1394162278 | 400 pages | True PDF | 12.59 MB

Free Download Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis
English | 2024 | ISBN: 3031731638 | 264 Pages | PDF EPUB (True) | 17 MB
This book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used to evaluate them. Statistical laws describe regular patterns observed in diverse scientific domains, ranging from the magnitude of earthquakes (Gutenberg-Richter law) and metabolic rates in organisms (Kleiber’s law), to the frequency distribution of words in texts (Zipf’s and Herdan-Heaps’ laws), and productivity metrics of cities (urban scaling laws). The origins of these laws, their empirical validity, and the insights they provide into underlying systems have been subjects of scientific inquiry for centuries. Through a historical review and a unified analysis, this book argues that the persistent controversies on the validity of statistical laws are predominantly rooted not in novel empirical findings but in the discordance among data-analysis techniques, mechanistic models, and the interpretations of statistical laws. Starting with simple examples and progressing to more advanced time-series and statistical methods, this book and its accompanying repository provide comprehensive material for researchers interested in analyzing data, testing and comparing different laws, and interpreting results in both existing and new datasets.

Free Download Udemy – Mastering Statistical Tools for Financial Analytics

Published: 12/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 37m | Size: 736 MB
Unlock the power of data analysis with statistical tools that turn numbers into insights, enhancing your decision-making

Free Download Udemy – Introduction to Elementary Statistical Methods

Published: 12/2024
Created by: Victor Villalpando,Ignacio E. Rodriguez
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 43 Lectures ( 14h 16m ) | Size: 5.81 GB

Free Download Arthur M. Glenberg, "Learning From Data: An Introduction to Statistical Reasoning using JASP Ed 4"
English | ISBN: 0367457970 | 2024 | 536 pages | EPUB | 6 MB
This fully updated fourth edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three important new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks such as constructing grouped frequency distributions, making violin Descriptions, conducting inferential statistical tests, and creating confidence intervals. Second, reflecting the growing use of Bayesian analyses in the professional literature, this edition includes a chapter with an introduction to Bayesian statistics (also using JASP). Third, the revised text incorporates adjunct questions, that is, questions that challenge the student’s understanding, after each major section. Cognitive psychology has demonstrated how adjunct questions and related techniques such as self-explanation can greatly improve comprehension.