Multiple non linear regression of maximum number of migratory bird types

What is it about?

Since many years ago, scientists have carried out researches about bird migration, but due to the large number of bird types estimated at around ten thousand in the world, it is not easy to predict the maximum number of migratory bird types through limited number of migration years. In this study, a multiple non linear regression model of maximum number probability function of migratory bird types was obtained and can be used in the prediction of the maximum number of migratory bird types during any migration years.

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Why is it important?

This study demonstrates an understanding of the statistical method for the ecologists to enable them to identify the number of the types of organisms that have migrated from one place to another place during a specific time interval by applying the prediction model. For example, when we limit the number of types of migratory birds in one of the areas this year and discovered that the number is less than 144 Type , while ten years ago the maximum number n = 144 migratory bird types during 10 years ago with high probability Z(144,10) ≈ 0.994 , this explains that there are some migratory bird types exposed to extinction, death or some migratory bird types changed the place of migration during ten years ago. In addition, the bad weather and pollution of the environment can cause death of the organisms that migrate across remote areas of the world.