3062

2875

كارشناسي ارشد

آمار رياضي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده علوم رياضي

1384

ده، 135، [I]ص.: مصور، جدول، نمودار

حميد قرباني

محمدصالحي مرزيجراني

فارسي به انگليسي; انگليسي به فارسي

محسن محمدزاده، علي رجالي

1396/10/27

كتابنامه

علوم رياضي

رياضي

ID2875

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

AbstractSometimeswe meet environmental studies which are not independent together unlike classicdata that we often supposetheir independence Their dependencespring from to settle datain the studied space This kind of data called spatial data Usually spatial data gather fromadjacent positions has more correlation and reduced with increasing distance betweendatapositions In spatial statistics may position itself be random variable this data called pointpattern or point process Spatial point processes complex stochastic models that describe arethe locations of interesting events and possibly some information about each event Sci encessuch as astronomy geology agriculture forestry materials have in these set of pointsdata the basis of their reaserch Statistics has provided a number of tools in order to ana lyze any given set of points and the field of spatial point processes provide a large variety ofcomplex patterns to model particular plant behaviours Marked point processdata includesadditional information about the event at eachlocation Location or marked location datacan be used to answer many different sorts of questions such as are the locations spatiallyclustered Do they tend to be regularly distributed or are random i e a realization of ahomogeneous poissonprocess In the presentthesis we shall discussstationary marked point processtheory and their sec ond order characteresticsalso introduce severalmodels for regular and cluster point process We shall estimate the model parameters using Ripley s K Function 1f J if if Ii tI VI

حميد قرباني

محمدصالحي مرزيجراني

محسن محمدزاده، علي رجالي