Statistics 63

First published in 1930, New Zealand in the Making is an economic history of the democratic experiments in New Zealand. The geography, population, government ownership of public utilities, compulsor……続きを見る

Dieses Buch vermittelt Wissen über die statistischen und mathematischen Methoden in der Wirtschaft und beinhaltet die Themenschwerpunkte Analyse, Schätzung und Vorhersage. In jedem Kapitel gibt es e……続きを見る

In einer VUCA-Welt, die sich als immer unbeständiger, unsicherer und komplexer erweist, gilt es für Unternehmen, Organisation und Staaten zeitnah und adäquat auf die jeweiligen Situationen zu reagie……続きを見る

This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will exp……続きを見る

This publication highlights brighter economic prospects for Asia and the Pacific amid ongoing challenges. It forecasts growth across the region's developing economies of 4.8% this year and in 2024, ……続きを見る

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistic……続きを見る

This book presents a critical review of the empirical literature that studies the efficiency of the forward and futures markets for foreign exchange. It provides a useful foundation for research in ……続きを見る

This book is a guide to non-academic careers for quantitative social scientists. Written by social science PhDs working in large corporations, non-profits, tech startups, and alt-academic positions ……続きを見る

Statistics are used throughout businesses to present and analyse data and decide on best practice. Simplified Business Statistics Using SPSS provides a practical approach to these concepts and their……続きを見る

The book describes the theoretical principles of nonstatistical methods of data analysis but without going deep into complex mathematics. The emphasis is laid on presentation of solved examples of r……続きを見る

Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical ……続きを見る

Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including……続きを見る

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and……続きを見る

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on……続きを見る

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely ……続きを見る

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning ……続きを見る

Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allo……続きを見る

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical an……続きを見る

Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternativ……続きを見る

The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed ……続きを見る

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library……続きを見る

Financial Mathematics: From Discrete to Continuous Time is a study of the mathematical ideas and techniques that are important to the two main arms of the area of financial mathematics: portfolio op……続きを見る

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory……続きを見る

Every financial professional wants and needs an advantage. A firm foundation in advanced mathematics can translate into dramatic advantages to professionals willing to obtain it. Many are notーand t……続きを見る

The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of A……続きを見る

Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world app……続きを見る

This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy……続きを見る

O objetivo deste livro é apresentar de forma estruturada e prática como melhorar o desempenho das obras em empresas de incorporação imobiliária e de serviços de construção, tendo como ponto de parti……続きを見る

This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babeș-Bolyai University, Cluj, Romani……続きを見る

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form, called “ADAM” (Augmented Dynamic Adaptive Model)……続きを見る