748円 Este libro es una introducción al mundo de la estadística, utilizando un lenguaje sencillo y explicaciones simples sobre los conceptos que sustentan esta disciplina. Cómo entender estadística fácilmente abarca dos áreas de las matemáticas presentes en todos los ámbitos de la vida: la probabilidad...

11,109円 This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-bas...

200円 **Bayes' Theorem and Bayesian Statistics: Your Gateway to Understanding** Dive into the fascinating world of Bayesian statistics with "Bayes' Theorem and Bayesian Statistics," the essential beginner's guide in the acclaimed "Getting Started With Statistics" series. **Why You Need This Book:** - *...

12,269円 Written in a highly accessible style, A Factor Model Approach to Derivative Pricing lays a clear and structured foundation for the pricing of derivative securities based upon simple factor model related absence of arbitrage ideas. This unique and unifying approach provides for a broad treatment o...

12,269円 Measurement Theory in Action, Third Edition, helps readers apply testing and measurement theories and features 22 self-contained modules which instructors can match to their courses. Each module features an overview of a measurement issue and a step-by-step application of that theory. Best Practi...

200円 Master Data Types: Your Essential Guide Welcome to "Data Types," the essential beginner's handbook in the esteemed "Getting Started With Statistics" series. Why You Need This Book: Foundational Knowledge: Understand the critical building blocks of data analysis. Unlock Insights: Learn how to har...

9,985円 Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and ana...

1,416円 Data Science can be defined as a process of discovering new and significant relationships, patterns and trends when examining large amounts of data. The techniques of Data Science pursue the automatic discovery of the knowledge contained in the information stored in an orderly manner in large dat...

10,612円 This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the...

14,592円 The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, r...

11,440円 If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you ne...

10,280円 "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goe...