From inferential statistics to climate knowledge

From inferential statistics to climate knowledge

Climate variability and change are risk factors for climate sensitive activities such as agriculture. Managing these risks requires “climate knowledge”, i.e. a sound understanding of causes and consequences of climate variability and knowledge of potential management options that are suitable in light of the climatic risks posed. Often such information about prognostic variables (e.g. yield, ra...

Inferential Commonsense Knowledge from Text

To enable human-level artificial intelligence,machinesmust have access to the same kind of commonsense knowledge about the world that people have. e best source of such knowledge is text – learning by reading. Implicit in linguistic discourse is information about what people assume to be possible or expect to happen. From these references, I obtain an extensive collection of semantically under...

A ( brief ) Introduction to Inferential Statistics

The eld of statistics can be divided into two branches, descriptive statistics and inferential statistics. Descriptive statistics, as its name suggests, is concerned with describing a population, or a sample from that population, in terms of numerical measures that are computed from data. Such a numerical measure is called a statistic. If the data used in the computation comes from the whole po...

Effect Size vs Inferential Statistics

Inferential Statistics from Black Hispanic Breast Cancer Survival Data

In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973-2009. We selected a stratified random sample of Black Hispanic female patients from the Surveillance Epidemiology and End Results (SEER) database to derive the statistical probability mode...