| |
|
|
 Free Download Steel Connection Design by Inelastic Analysis by Mark D. Denavit, Ali Nassiri, Mustafa Mahamid English | October 1, 2024 | ISBN: 1394222157 | 384 pages | MOBI | 44 Mb Comprehensive resource on the finite element method in structural steel connection design through verification with AISC 360 provisions  Free Download Staying Healthy with Nutrition, rev by Elson Haas English | November 20, 2012 | ISBN: 1607745070 | 944 Pages | True epub | 12,23 MB  Free Download Staying Healthy When You Travel, New Edition: Avoiding Bugs, Bites, Bellyaches, and More (CompanionHouse Books) Doctor's Advice on Immunization, Precautions, What to Do When Illness Strikes, and More by Dr. Jane Wilson-Howarth English | December 19, 2023 | ISBN: 1620084325 | 320 pages | PDF | 23 Mb The must-have guide to staying healthy while you travel!How to stay healthy when traveling, treat illnesses, and avoid common diseasesImmunizations and medicines to take, with tables and maps that match disease risk to countriesPrecautions to take when traveling while pregnant, with kids, or with chronic conditionsExpert tips to protect yourself from insects and worms, what to pack in your first-aid kit, how to handle sickness, injuries, and emergencies, and much moreNewly updated to include insight on international travel tips and safety post-COVID as restrictions are liftedAuthor Dr. Jane Wilson-Howarth is an expert in parasitology, vector ecology, and child healthThis essential travel book covers everything you have and haven't thought of, so you'll be prepared for anything!  Free Download Statistics, Society and Environment English | 2025 | ISBN: 3031784006 | 224 Pages | PDF EPUB (True) | 35 MB This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023. Statistical research in Latin America is vibrant and far-reaching, with extensive networks both within the region and beyond. However, much of this work is published in Spanish, limiting access for a broader audience. This volume aims to bridge that gap by presenting selected research from Latin American scholars and their collaborators to a wider readership. Academics will find value in the latest methodological advancements, while practitioners from various fields may discover innovative tools for data analysis. The volume places special emphasis on environmental statistics and applications that address societal issues or directly model social phenomena.  Free Download Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects English | 2025 | ISBN: 8119177975 | 546 Pages | EPUB | 1 MB  Free Download Statistical Quantitative Methods in Finance: From Theory to Quantitative Portfolio Management English | 2025 | ASIN: B0DF4VCV93 | 484 Pages | PDF EPUB (True) | 67 MB This book explores the theoretical foundations of statistical models, from ordinary least squares (OLS) to the generalized method of moments (GMM) used in econometrics. It enriches your understanding through practical examples drawn from applied finance, demonstrating the real-world applications of these concepts. Additionally, the book delves into non-linear methods and Bayesian approaches, which are becoming increasingly popular among practitioners thanks to advancements in computational resources. By mastering these topics, you will be equipped to build foundational models crucial for applied data science, a skill highly sought after by software engineering and asset management firms. The book also offers valuable insights into quantitative portfolio management, showcasing how traditional data science tools can be enhanced with machine learning models. These enhancements are illustrated through real-world examples from finance and econometrics, accompanied by Python code. This practical approach ensures that you can apply what you learn, gaining proficiency in the statsmodels library and becoming adept at designing, implementing, and calibrating your models.  Free Download Statistical Modeling and Computation English | 2025 | ISBN: 107164131X | 497 Pages | PDF (True) | 12 MB This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications.  Free Download Statistical Methods for Environmental Mixtures: A Primer in Environmental Epidemiology English | 2025 | ISBN: 3031789865 | 107 Pages | PDF EPUB (True) | 9.3 MB This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. Environmental mixtures are defined as groups of 3 or more chemical/pollutants, simultaneously present in nature, consumer products, or in the human body. Assessing the health effects of environmental mixtures poses several methodological challenges due to the high levels of correlation that are often present between environmental chemicals, and by the need of incorporating flexible non-additive and non-linear effects that can capture and describe the complex mechanisms by which environmental exposure contribute to diseases. Several statistical approaches are proposed and discussed, including the application of regression-based approaches (e.g. penalized regression such as LASSO and elastic net, or Bayesian variable selection) for environmental exposures, and novel methods (e.g. weighted quantile sum regression, or Bayesian Kernel Machine Regression) that account for specific complexities of environmental exposures. More recent efforts included are the application of machine learning approaches (e.g. gradient boosting) for environmental data.  Free Download Statistical Mechanics for Chemical Thermodynamics and Kinetics English | 2025 | ISBN: 3031779282 | 184 Pages | PDF EPUB (True) | 12 MB This advanced textbook on theoretical chemistry includes all the fundamental concepts and theoretical approaches to be used when modelling a chemical system (i.e., a molecular system). Starting from the basic principles of quantum mechanics and specifically addressing the concepts and methods to treat quantum-classical systems, the authors derive from first principles the fundamental relations of statistical mechanics and then describe their application to chemical thermodynamics and kinetics. This book provides a rigorous description of the fundamental theoretical principles and derivations addressing sophisticated physical-mathematical issues of special interest in chemistry, thus bridging the gap between basic textbooks and up-to-date specialized publications in both quantum mechanics and statistical mechanics of molecular systems. This is a useful resource for all researchers and/or graduate students interested in the field of theoretical chemistry.  Free Download Statistical Causal Mediation Analysis with R English | 2025 | ISBN: 9819763975 | 108 Pages | PDF EPUB (True) | 34 MB This book comprehensively covers various causal mediation analysis (CMA) methods developed across multiple fields, organizing them into a reader-friendly progression of methodological advancements. Interest in the mechanisms that form causal relationships is widespread across various fields, including sociology, demography, economics, political science, psychology, epidemiology, public health, and educational studies, to name a few. Compared to the well-established research focusing on bivariate causality, CMA―the study of mediation mechanisms within the framework of causal inference―requires more complex identification assumptions, estimation methods, and nuanced interpretations of the results. Therefore, to conduct CMA with rigor, one must acquaint themselves with a distinct and systematic body of knowledge that is clearly separate from traditional linear regression modeling or structural equation modelling (SEM). Against this backdrop, the objectives of the proposed book are twofold. Firstly, it aims to offer readers an approachable and engaging explanation of the statistical theories underpinning the diverse methods of CMA. Specifically, we highlight the crucial mediation identification assumptions―a critical aspect frequently neglected by practitioners and educators. Secondly, the book intends to guide readers through detailed, step-by-step examples of applying CMA methods in practical research contexts. Through this approach, readers are anticipated to gain practical skills necessary for addressing their own research or teaching challenges. This book begins with traditional methods that rely on differences or products of coefficients in linear regression modeling, moves on to CMA involving a single mediator, and advances to more sophisticated approaches that manage parallel or sequentially ordered mediators. Additionally, sensitivity analysis is introduced as an important supplementary analytical step. Thus, the content spans from conventional CMA tools to the forefront methodologies that have emerged in recent decades. The book is designed to be self-sufficient, characterized by a balanced and well-integrated presentation of both theory and application. |
:
