Model-based Geostatistics for Global Public Health: Methods and Applications provides an introduc...

Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. ...

Time series analysis is one of several branches of statistics whose practical importance has incr...

Geostatistics is concerned with estimation and prediction problems for spatially continuous ph...

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introduc...

As an introduction to discrete mathematics, this text provides a straightforward overview of the ...

Retaining all the material from the second edition and adding substantial new material, this thir...

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Stati...

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Stati...