Search results
Results From The WOW.Com Content Network
For example, house A in an area zoned for residential use may have a highest and best use as vacant and a highest and best use as improved that are both residential. A similar house B in a commercially zoned area may have a highest and best use as vacant as development to a commercial development, and the highest and best use as improved may be ...
Users may use a standard optimality-criterion or may program a custom-made criterion. All of the traditional optimality-criteria are convex (or concave) functions, and therefore optimal-designs are amenable to the mathematical theory of convex analysis and their computation can use specialized methods of convex minimization. [18]
If the appraiser's opinion is based on market value, then it must also be based on the highest and best use of the real property. In the United States, mortgage valuations of improved residential properties are generally reported on a standardized form like the Uniform Residential Appraisal Report . [ 24 ]
The highest scoring firms advance to the next phase where examiners perform site visits to compare actual practices against those reported in the company submission and finally, awards are given to companies whose practices best fulfill the criteria of the award models. [3]
Use value takes into account a specific use for the subject property and does not attempt to ascertain the highest and best use of the real estate. For example, the appraisal may focus on the contributory value of the real estate to a business enterprise. Some property tax jurisdictions allow agricultural use appraisals for farmland. Also ...
A best practice is a method or technique that has been generally accepted as superior to alternatives because it tends to produce superior results. Best practices are used to achieve quality as an alternative to mandatory standards. Best practices can be based on self-assessment or benchmarking. [1]
For example, if you buy a high-yield bond ETF, the investments will be bonds, and the fund’s price will respond as if it were a bond (i.e., rising when prevailing interest rates fall and vice ...
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.