Business applications

S is a high-level language for manipulating, analysing and displayingdata.

While SAS and SPSS have many things in common, R is very different.

One of the keys to successful business process engineering is tight alignment of processes with organisational goals and values.

In recent years developments in statistics have to a great extent gone hand in hand with developments in computing.

Monte Carlo simulation has become one of the most important tools in all fields of science.

This book provides an accelerated introduction to Maple for scientific programmers who already have experience in other computer languages (such as C, Pascal, or FORTRAN).

S is a powerful environment for the statistical and graphical analysis of data.

Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience.

While good data is an enterprise asset, bad data is an enterprise liability.

With the recent debacle of cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of comprehending the security and regulations of Web3, cryptocurrency, and blockchain projects has been magnified.

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

Where do I start?

Organisations are information intensive systems, operating in dynamic and competitive markets, structured around complex physical and political infrastructures.

This book is the first volume of the proceedings of the 11th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT).

Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject.