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2. California FAIR Plan insurance: What it is and how it works - AOL

   www.aol.com/finance/california-fair-plan...

   California’s FAIR Plan offers property insurance for owner- and tenant-occupied buildings, seasonal homes, condos and rental properties (personal property coverage only). To get coverage ...

3. Community gardening in the United States - Wikipedia

   en.wikipedia.org/wiki/Community_gardening_in_the...

   Overview Crops at the former South Central Farm in Los Angeles, California. A community garden is any piece of land gardened by a group of people. The majority of gardens in community gardening programs are collections of individual garden plots, frequently between 3 m × 3 m (9.8 ft × 9.8 ft) and 6 m × 6 m (20 ft × 20 ft).

4. Vacant possession - Wikipedia

   en.wikipedia.org/wiki/Vacant_possession

   Vacant possession refers to the typical condition in which a seller must hand over a property to a buyer upon completion, or a tenant must return the property to a landlord at the end of a lease. In simple terms, it means that the rightful person, such as a buyer or a landlord, can peacefully and fully utilize the property.

5. Point estimation - Wikipedia

   en.wikipedia.org/wiki/Point_estimation

   In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter space) which is to serve as a "best guess" or "best estimate" of an unknown population parameter (for example, the population mean ). More formally, it is the application of a point ...

6. Unearned increment - Wikipedia

   en.wikipedia.org/wiki/Unearned_increment

   Unearned increment is an increase in the value of land or any property without expenditure of any kind on the part of the proprietor; it is an early statement of the notion of unearned income. It was coined by John Stuart Mill, who proposed taxing it so that it benefits every member of a society. Mill's concept was refined and developed by ...

7. Bayes estimator - Wikipedia

   en.wikipedia.org/wiki/Bayes_estimator

   t. e. In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value of a loss function (i.e., the posterior expected loss ). Equivalently, it maximizes the posterior expectation of a utility function.