Narrow your search

Library

Odisee (23)

KU Leuven (18)

UCLL (13)

Thomas More Kempen (12)

Thomas More Mechelen (10)

UGent (10)

ULiège (10)

UAntwerpen (9)

UCLouvain (8)

VIVES (8)

More...

Resource type

book (23)


Language

English (19)

Dutch (4)


Year
From To Submit

2017 (1)

2012 (1)

2011 (1)

2010 (1)

2009 (1)

More...
Listing 1 - 10 of 23 << page
of 3
>>
Sort by
Linear programming: methods and applications
Author:
ISBN: 048643284X Year: 2003 Publisher: Mineola, N.Y. Dover

Loading...
Export citation

Choose an application

Bookmark

Abstract


Book
Robust statistics
Authors: ---
ISBN: 9780470129906 0470129905 Year: 2009 Publisher: Hoboken, N.J. Wiley

Loading...
Export citation

Choose an application

Bookmark

Abstract

Introduction to management science
Author:
ISBN: 0131961330 0131888099 9780131961333 9780131888098 Year: 2007 Publisher: Upper Saddle River: Pearson/Prentice Hall,


Book
Wiskunde voor economisten
Authors: ---
ISBN: 9030996048 9030996056 9789030996040 9789030996057 Year: 1998 Publisher: Leuven Wolters

Production and operations analysis.
Author:
ISBN: 0072865385 0071238379 9780071238373 9780072865387 Year: 2005 Publisher: Boston : McGraw-Hill,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Chapter 1 Strategy and Competition Chapter 2 Forecasting Chapter 3 Aggregate Planning Supplement 1 Linear Programming Chapter 4 Inventory Control Subject to Known Demand Chapter 6 Supply Chain Management Chapter 5 Inventory Control Subject to Uncertain Demand Chapter 7 Push and Pull Production Control Systems: MRP and JIT Chapter 8 Operations Scheduling Supplement 2 Queuing Theory Chapter 9 Project Scheduling Chapter 10 Facilities Layout and Location Chapter 11 Quality and Assurance Chapter 12 Reliability and Maintainability Appendix

Nonlinear programming
Author:
ISBN: 1886529000 9781886529007 Year: 1999 Publisher: Belmont: Athena scientific,


Book
Fundamentals of object tracking
Author:
ISBN: 9780521876285 9781139010375 1139010379 051197583X 9780511975837 9781139006590 1139006592 1139008234 9781139008235 0521876281 9781139008235 1280886676 9781280886676 1139009850 9781139009850 9786613727985 6613727989 113900932X Year: 2011 Publisher: Cambridge, UK ; New York : Cambridge University Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems - maneuvering, multiobject, clutter, out-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.

Numerical methods of statistics
Author:
ISBN: 0521791685 Year: 2001 Publisher: Cambridge : Cambridge university press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods; for mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book provides a basic background in numerical analysis emphasizing issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats application of numerical tools: numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. The book concludes with an examination of sorting, FFT and the application of other 'fast' algorithms to statistics. Each chapter contains exercises that range from the simple to research problems, as well as examples of the methods at work. Most of the examples are accompanied by demonstration code available on a floppy disk included with the book.

Data mining using SAS applications
Author:
ISBN: 1584883456 9781584883456 Year: 2003 Publisher: Boca Raton: Chapman & Hall/CRC,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Most books on data mining focus on principles and furnish few instructions on how to carry out a project. Data Mining Using SAS Applications not only introduces concepts but also enables readers to understand and apply data mining methods using downloadable SAS macro-call files. These techniques stress the use of visualization for studying the structure of data and the validity of statistical models. With the SAS macro-call files, readers explore: techniques for creating training and validation samples; exploratory graphical techniques; frequency analysis for categorical data; unsupervised and supervised learning methods; model validation techniques; and how to convert PC databases to SAS data.

Listing 1 - 10 of 23 << page
of 3
>>
Sort by