Search
Search Results
-
Data Management Der Weg zum datengetriebenen Unternehmen
Dieses Lehrbuch betrachtet Data Management als interdisziplinäres Konzept mit Fokus auf den Zielen datengetriebener Unternehmen. Im Zentrum steht die...
-
Global Flow of Funds Analysis Data, Models, and Applications
This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a...
-
Industrial Engineering and Industrial Management 5th International Conference, IEIM 2024, Nice, France, January 10–12, 2024, Proceedings
This CCIS post conference volume constitutes the proceedings of the 5th International Conference, IEIM 2024, in Nice, France, in January...
-
Data Analytics and Machine Learning Navigating the Big Data Landscape
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive...
-
Fundamentals of Order and Rank Statistics
This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it also discusses practical...
-
Handbook of Scan Statistics
Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years....
-
Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research
This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies...
-
The 2x2 Matrix Contingency, Confusion and the Metrics of Binary Classification
This book describes, extends, and illustrates the metrics of binary classification through worked examples.
Worked examples based on pragmatic test...
-
Understanding Audiences, Customers, and Users via Analytics An Introduction to the Employment of Web, Social, and Other Types of Digital People Data
This book presents the foundations of using analytics from the laboratory, social media platforms, and the web. The authors cover key topics...
-
Multidimensional Aspects of Occupational Segregation Time Series and Cross-National Comparisons
One of the strengths of this book is that it expresses occupational segregation from multidimensional viewpoints using correspondence analysis....
-
Audit Analytics Data Science for the Accounting Profession
This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and...
-
A Quantitative Portrait of Analytic Philosophy Looking Through the Margins
This book offers an unprecedented quantitative portrait of analytic philosophy focusing on two seemingly marginal features of philosophical texts:...
-
Correlation in Engineering and the Applied Sciences Applications in R
This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical...
-
Business Statistics for Competitive Advantage with Excel and JMP Basics, Model Building, Simulation, and Cases
This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business...
-
Matrix Algebra Theory, Computations and Applications in Statistics
This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and...
-
Randomized Response Techniques Certain Thought-Provoking Aspects
This book presents an up-to-date perspective on randomized response techniques (RRT). It discusses the most appropriate and efficient procedures of...
-
Introduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Control
This revised book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments, and...
-
The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169...
-
Understanding Inferential Statistics From A for Significance Test to Z for Confidence Interval
What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential...
-
Learning in the Absence of Training Data
This book introduces the concept of “bespoke learning”, a new mechanistic approach that makes it possible to generate values of an output variable at...
