ａｎ - Statistics 1

Franz Buscha's book, Graphs Everyone Should Know and How to Create Them in Stata, is written for anyone who uses Stata to make graphs. Beginners will find a complete collection of tools for effectiv……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 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

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 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

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

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 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

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

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

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 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 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

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

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

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The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as execu……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

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

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

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 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

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 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

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effectiv……続きを見る

Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition. This volume is organised around the principle that much of actuarial science consists of the construction a……続きを見る

In Women Want More, Michael Silverstein and Kate Sayre, two of the world’s leading authorities on the retail business, argue that women are the key to fixing the economy. Based on a groundbreaking s……続きを見る

The book reports on the development of household finances in rural China. It is based on the results of an on-site survey conducted door to door by a research team from the Survey and Research Cente……続きを見る

Mortality improvements, uncertainty in future mortality trends and the relevant impact on life annuities and pension plans constitute important topics in the field of actuarial mathematics and life ……続きを見る