Kategoria BISAC: Computers >> Mathematical & Statistical Software

The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The...

Wie konnen grosse und kleine Datenmengen aus Beobachtungen, Messungen, Befragungen, Untersuchungen, Analysen etc. verwaltet, aufbereitet, komprimiert, mit Kennzahlen erklart und wirksam grafisch dargestellt werden? Wie kann man dazu Hypothesen prufen, Zusammenhange aufdecken, Abhangigkeiten finden?
Dieses Buch zeigt Ihnen, wie die grundlegenden Methoden der Statistik recht einfach mit Excel umsetzbar sind. Es wurden in einheitlicher, sehr verstandlicher Methodik die grundlegenden statistischen Verfahren sowohl der beschreibenden als auch der beurteilenden Statistik zusammengestellt....

The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse settings such as regression and time series. Furthermore, the Model-Free Bootstrap takes us beyond point prediction in order to construct frequentist prediction intervals without resort to unrealistic...

This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes.

The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined...

This is the first book to provide a comprehensive introduction to a new modeling framework known as semiparametric structural equation modeling and its technique, with the fundamental background needed to understand it. It offers a general overview of the basics of semiparametric structural equation models for causal discovery, estimation principles and algorithms, and applications in neuroscience, economics, epidemiology, and more.

Semiparametric structural equation modeling is one of the most exciting new topics in the field of causal discovery. This new framework assumes...

This book provides a concise summary of statistical inferences with random combinatorial models, especially random partitions and related models, with necessary theoretical backgrounds. Random combinatorial models have been developed at the interface of probability and combinatorics. They are useful for data analyses; however, statistical issues have been raised in each field and a general overview has not been given. This book presents a unified treatment of methods of statistical inferences with random combinatorial models. It begins with an introduction of various kinds of...

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain.

The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out....

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural...

Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster.

Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools....

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity.

The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of...

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.

With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical.

Using relational mathematical representation, all types of data structures can be...

Mathematica(r): A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked- out problems. Each section starts with a description of a new topic and some basic examples. The author then demonstrates the use of new commands through three categories of problems

- the first category highlights those essential parts of the text that demonstrate the use of new commands in Mathematica whilst solving each problem presented;

- the second comprises problems that...