Title
On the power of the sign test for the case of Laplace distribution: An asymptotic approach in testing statistical hypotheses,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
In applied economics and science, the popularity of Laplace distribution as a probabilistic model has increased exponentially over the last decades. It had a long way from the first law for the error of measurement to one of the most used models for fitting economical and financial, biometrical and demographic, technological and engineering data. This increased interest from applied sciences motivates the Laplace distribution to be investigated in mathematical statistics and theory of probability. The nonregularity of the Laplace distribution makes known difficulties of its use in problems of testing statistical hypotheses. So, there is no the uniformly most powerful test for testing a simple hypothesis against a complex onesided alternative for the case of Laplace distribution. In the present work, we use an asymptotic approach to solve a similar problem. We derive a test based on the sign statistic, calculate the deficiency of the test, provide approximations to the power function. Applied scientists can use the results to process their observations. For mathematicians, this book provides fertile ground for further investigations in asymptotic statistics.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.