INA - Statistics 1

Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giant……続きを見る

Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Rーa practical, hands-on guide for turning data into trading decisions. This book is written for quantita……続きを見る

Das Leben ist kein Rätsel – es ist Statistik in Bewegung. Denken in Wahrscheinlichkeiten bringt dir bei, wie du als Mensch, nicht als Mathematiker, bessere Entscheidungen triffst, wenn Fakten fehlen……続きを見る

Advanced and Multivariate Statistical Methods, Eighth Edition, offers conceptual and practical insights into multivariate statistical techniques, designed for students without requiring deep technic……続きを見る

This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data scien……続きを見る

This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentatio……続きを見る

This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Si……続きを見る

This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory……続きを見る

The overall financial market environment has undergone a dramatic shift in the past few years as a result of the recent global financial crisis, associated regulatory changes, and new market partici……続きを見る

This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall. It outlines the model's (i) underlying math……続きを見る

Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Usi……続きを見る

Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams……続きを見る

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-makin……続きを見る

Key Labor Market Indicators: Analysis with Household Survey Data is an introduction to labor market indicator analysis and a guide for analyzing household survey data using the ADePT ILO (Internatio……続きを見る

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statis……続きを見る

This book provides a first-hand account of business analytics and its implementation, and an account of the brief theoretical framework underpinning each component of business analytics. The themes ……続きを見る

This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the incre……続きを見る

The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an “economic t……続きを見る

Der Klassiker zu den Forschungsmethoden – rundum erneuert, didaktisch verbessert und aktueller denn je! Dieses Buch ist ein fundierter und verlässlicher Begleiter für Studierende, Forschende und Ber……続きを見る

Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the ……続きを見る

This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for develop……続きを見る

This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statist……続きを見る

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the ……続きを見る

Sich all die Regeln der verschiedenen Gebiete der Wirtschaftsmathematik zu merken ist schon ein hartes Geschäft und dann soll man sie auch noch richtig anwenden. Ist die Not groß, ist das passende »……続きを見る

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with d……続きを見る

Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining ‘Big Data’, this book charts the recent explosion in sources of data, including those ……続きを見る

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal w……続きを見る

This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its propertie……続きを見る

Müssen Sie sich schnell in die Wirtschaftsmathematik einarbeiten? Dieses handliche Buch bietet Ihnen einen Kompaktkurs in die wichtigsten mathematischen Grundlagen, die Sie kennen müssen, wenn Sie i……続きを見る