Dieses Buch richtet sich an Studentinnen und Studenten, die im Rahmen ihrer Seminar-, Projekt-, Bachelor- oder Masterarbeit quantitative Daten erheben. Neben deskriptiven Analysen sind in solchen Si……続きを見る
Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles and theory is essential. Supported by a large number of ex……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
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding c……続きを見る
Your Definitive, Up-to-Date Guide to Marketing MetricsーChoosing Them, Implementing Them, Applying Them
This award-winning guide will help you accurately quantify the performance of all your marketi……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
Marketing Metrics: The Definitive Guide to Measuring Marketing Performance, Second Edition, is the definitive guide to today’s most valuable marketing metrics. In this thoroughly updated and signifi……続きを見る
著者:Reimund Mink
出版社: Springer International Publishing
発売日: 2023年01月03日
This book describes official statistics as a tool to hold up a mirror to society – but also as an instrument for those who can manipulate this mirror. It addresses the precarious interaction of poli……続きを見る
This book illustrates the method of multiple hypotheses with detailed examples and describes the limitations facing all methods (including the method of multiple hypotheses) as the means for constru……続きを見る
The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a livel……続きを見る
著者:Reiner Hutwelker
出版社: Springer International Publishing
発売日: 2019年12月13日
This book helps professionals to turn their own Six Sigma projects into reality. Using a sample project, the book guides readers through all aspects of Six Sigma, from identifying and defining a sui……続きを見る
Das Buch enthält Fallstudien zur deskriptiven und induktiven Statistik, welche auf die Bachelor-Ausbildung in der Betriebswirtschaft ausgerichtet sind. Für die fachlichen Grundlagen wird auf eine pr……続きを見る
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the……続きを見る
Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more e……続きを見る
In this second edition of An Introduction to Statistics using Microsoft Excel the authors have introduced the concept of thinking statistically, which offers a further set of insights relating to ho……続きを見る
著者:Dominik Ballreich
出版社: Springer International Publishing
発売日: 2017年09月26日
The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be u……続きを見る
著者:Alex Reinhart
出版社: No Starch Press
発売日: 2015年03月01日
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how ……続きを見る
Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provid……続きを見る