Title
BAYESIAN PREDICTION INTERVALS: Basics, Concepts and Methods,Used
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In real life situations we can use the information from the past sample to predict the observations of a future sample from the same population with a specified probability. From this procedure we can find intervals with a certain level of significance contain the future predicted values, these intervals are called prediction intervals. Therefore the main subject of this book is the Bayesian prediction intervals (BPI), it is studied using some continuous distributions and nonhomogeneous poisson processes (NHPP).In this book the one sample prediction which predict the future observation from the same sample, and the two sample prediction that use the first sample to predict the future observations, mean, median , range and midrange of the second sample are studied based on ordinary order statistics or generalized order statistics. Besides to BPI, estimation is studied about the exponential distribution with change point and about (NHPP). Prediction is very important in a practical life, for instance medicine, biology, agriculture, business, engineering, industry and quality control.
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Shipping & Returns
Shipping
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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