Statistics 1

With the rapid development of big data, three major challenges arise in the field of economics and management. The first challenge is that the traditional correlation-based methods cannot essentiall……続きを見る

Financial Econometrics Using Stata by Simona Boffelli and Giovanni Urga provides an excellent introduction to time-series analysis and how to do it in Stata for financial economists. Aimed at resear……続きを見る

Discovering Structural Equation Modeling Using Stata, Revised Edition, by Alan Acock, successfully introduces both the statistical principles involved in structural equation modeling (SEM) and the u……続きを見る

Every applied economic researcher using Stata and everyone teaching or studying microeconometrics will benefit from Cameron and Trivedi's two volumes. They are an invaluable reference of the theory ……続きを見る

How the obsession with quantifying human performance threatens business, medicine, education, governmentーand the quality of our lives Today, organizations of all kinds are ruled by the belief that ……続きを見る

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With ……続きを見る

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA) Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and……続きを見る

This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-st……続きを見る

To present a multifaceted and holistic perspective of what makes Singaporeans happy, Tambyah, Tan and Yuen discuss the findings and insights from the 2022 Quality of Life Survey, which examines the ……続きを見る

**Named a Best Book of the Year by Forbes and The Economist From our "greatest living statistical communicator" (Tim Harford) comes an invaluable, data-driven guide for understandingーand learning t……続きを見る

This open access book introduces the modern tontine and its applications in retirement and decumulation. Personal financial management in the later stages of life presents unique challenges, and ren……続きを見る

The legendary bestseller that encouraged millions of readers to look at the hidden side of everything Which is more dangerous: a gun or a swimming pool? Why do drug dealers still live with their mom……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 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

The legendary bestseller that encouraged millions of readers to look at the hidden side of everything Which is more dangerous: a gun or a swimming pool? Why do drug dealers still live with their mom……続きを見る

Fooled by Randomness is a standalone book in Nassim Nicholas Taleb’s landmark Incerto series, an investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making in a……続きを見る

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptua……続きを見る

This book presents 20 peer-reviewed chapters on current aspects of derivatives markets and derivative pricing. The contributions, written by leading researchers in the field as well as experienced a……続きを見る

A groundbreaking mathematician presents a new model for understanding financial markets Benoit B. Mandelbrot is world-famous for inventing fractal geometry, making mathematical sense of a fact every……続きを見る

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data……続きを見る

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether asse……続きを見る

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustrati……続きを見る

Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you thr……続きを見る

〜搭起文科和理科橋樑〜 「讓工作和生活變順利，幸福機率最高」的解答， 就是統計學！ 【本書特色】 ◎ 只要加減乘除，就學得會初階統計： 以「搭起文科和理科橋樑」為使命，僅使用圖片和簡單算數說明統計學概念，……続きを見る

Dieses Lehrbuch führt leicht verständlich und anwendungsorientiert in die beschreibende und schließende Statistik sowie in die Wahrscheinlichkeitsrechnung ein: Die Methoden der Statistik werden nic……続きを見る

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new al……続きを見る

**Truth, Lies & Statistics: How to Lie with Statistics** Unlock the secrets of statistical deception with "Truth, Lies & Statistics: How to Lie with Statistics." This friendly, chatty, and slightly ……続きを見る

**Graphs Don't Lie: How to Lie with Graphs and Get Away With It…** Discover the hidden world of misleading graphs with "Graphs Don't Lie: How to Lie with Graphs and Get Away With It…" This book is y……続きを見る

Probability and Statistics for Data Science: Math + R + Data covers "math stat"ーdistributions, expected value, estimation etc.ーbut takes the phrase "Data Science" in the title quite seriously: * R……続きを見る

In a world where we are constantly being asked to make decisions based on incomplete information, facility with basic probability is an essential skill. This book provides a solid foundation in basi……続きを見る