Exponential e reserves the right to carry out planned and emergency works in respect of the Service(s) in accordance with the applicable Service Document(s). The Partner acknowledges that this may result in non-availability of, or other impact to, their Services whilst such works are carried out.
Exponential e shall use the reasonable care and skill expected of a competent information technology and telecommunications provider in exercising its rights, and carrying out its obligations, under the Contract.
Exponential e reserves the right, at all times, to refuse entry to its premises and/or systems, and/ or records or to remove from its premises to, and/or remove system and/or records access rights for, any person who in the reasonable opinion of Exponential-e is not fit to have such access or is causing the Partner to be in breach of this Clause 10.16.
Exponential e shall not transfer any Partner Personal Data outside of the UK and EEA without:
Exponential e’s right to suspend a Service(s) pursuant to Clause 11.1 above is without prejudice to Exponential-e’s termination rights under Clause 12 below, or any other right under the Contract or at law.
Exponential e shall have the right to terminate any Service and/or the Contract immediately upon written notice if instructed to do so by a court of law, regulator or other appropriate authority.
Exponential m(x) = 2 + exp(3x)/400. Bump. m(x) = 10 + 2(x − 1.5) + 5exp(−200(x − 1.5)2). Cycle. m(x) = 10 + 10 sin(2πx); Population values of y in small area i = 1,... , 200 are generated under the random intercepts model yi = m(x) + ui + εi with x drawn from a Uniform distribution [0, 3], the area effects ui drawn from N(0, 1) and the error effects εi independently generated from N(0, 1). The linear case represents a situation in which the EBLUP is based on a good representation of the true model, while the NPEBLUP may be too complex and overparametrized. The jump model is a discontinuous function for which EBLUP and NPEBLUP are based on a misspecified model; the Exponential, Bump and Cycle models define increasingly more complicated structures of the relationship between y and x. For each of the five generated populations a total of T = 250 simulations were carried out. For each sample the EBLUP and the NPEBLUP estimators have been used to estimate the small area means y¯i, i = 1,... , 200. Then, for each estimator and for each small area we computed the Monte Carlo estimate of the Bias −T
