Title
Statistical Methods For Nonprecise Data (Envrionmetrics),Used
Delivery time: 8-12 business days (International)
The formal description of nonprecise data before their statistical analysis is, except for error models and interval arithmetic, a relatively young topic. Fuzziness is described in the theory of fuzzy sets but only a few papers on statistical inference for nonprecise data exist. In many cases, for example when very small concentrations are being measured, it is necessary to describe the imprecision of data. Otherwise, the results of statistical analysis can be unrealistic and misleading. Fortunately, there is a straightforward technique for dealing with nonprecise data. The technique the generalized inference method is explained in Statistical Methods for NonPrecise Data. Anyone who understands elementary statistical methods and simple stochastic models will be able to use this book to understand and work with nonprecise data.The book includes explanations of how to cope with nonprecise data in different practical situations, and makes an excellent graduate level text book for students, as well as a general reference for scientists and practitioners.Features
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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