ａｎ - Statistics 1

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroe……続きを見る

In a world of increasing financial uncertainty and growing unemployment, the macroeconomic contribution of SMEs is more important than ever. Development of a vibrant, sustainable small firm sector i……続きを見る

This book gives a systematic introduction to the basic theory of financial mathematics, with an emphasis on applications of martingale methods in pricing and hedging of contingent claims, interest r……続きを見る

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following ……続きを見る

The ORIGINAL Options Trading Crash Course. 2022 EDITION Do You Want to Know How to Trade Your Way to Success on the Options Market? For a beginner, the options market is incomprehensible. All that j……続きを見る

This open access textbook is the first to provide Business and Economics Ph.D. students with a precise and intuitive introduction to the formal backgrounds of modern financial theory. It explains Br……続きを見る

Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast ……続きを見る

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and app……続きを見る

This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, an……続きを見る

Quantile-Based Reliability Analysis presents a novel approach to reliability theory using quantile functions in contrast to the traditional approach based on distribution functions. Quantile functio……続きを見る

This book about the economy of North Korea from the 1970s to the 2010s. Source data from UN Data. Size. In the 2010s, the GDP of DPRK was equal to $16.4 billion per year; the value of agriculture wa……続きを見る

Locating empirical information on specific service industry characteristics is not an easy task, even for an individual familiar with various sources of data. This book is a quick source of informat……続きを見る

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are ……続きを見る

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This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no t……続きを見る

This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through pr……続きを見る

This book provides an overview of the risk components of CoCo bonds. CoCos are hybrid financial instruments that convert into equity or suffer a write-down of the face value upon the appearance of a……続きを見る

This bookis a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics……続きを見る

Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit Risk Counterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions betwee……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

International financial crises in the late 1990s revealed that deficiencies in countries’ international reserves and related information made it difficult to anticipate and respond to crises by obsc……続きを見る

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Ke……続きを見る

"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date……続きを見る

The best-selling author of Naked Economics defies the odds with a book about statistics that you’ll welcome and enjoy. Once considered tedious, the field of statistics is rapidly evolving into a dis……続きを見る

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely i……続きを見る

This is a definitive guide for the staff layman struggling with Counter Insurgency or COIN operations. It applies the methodology of Six Sigma to the staff process with the intent of producing more ……続きを見る

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodologic……続きを見る

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of an……続きを見る

An essential resource for constructing and analyzing advanced actuarial models Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, los……続きを見る

Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a tota……続きを見る