Statistique de la production et de la distribution de l'énergie électrique en France... : renseignements provisoires pour l'année... / Ministère des travaux publics, Service central des forces hydrauliques et des distributions d'énergie électrique

1925/01/01.

Statistique de la production et de la distribution de l'énergie électrique en France... : renseignements provisoires pour l'année... / Ministère des travaux publics, Service central des forces hydrauliques et des distributions d'énergie électrique

1928/07/01.

Statistique de la production et de la distribution de l'énergie électrique en France... : renseignements provisoires pour l'année... / Ministère des travaux publics, Service central des forces hydrauliques et des distributions d'énergie électrique

1933.

Statistique de la production et de la distribution de l'énergie électrique en France... : renseignements provisoires pour l'année... / Ministère des travaux publics, Service central des forces hydrauliques et des distributions d'énergie électrique

1931/01/01.

Statistique de la production et de la distribution de l'énergie électrique en France... : renseignements provisoires pour l'année... / Ministère des travaux publics, Service central des forces hydrauliques et des distributions d'énergie électrique

1932.

Eau potable. Adductions et distributions publiques, financement des travaux, hygiène . [Mis à jour au 1er février 1958.]

[Code]

Tableau des distributions de pain, fourrage et bois a bruler qui seront faites pendant trente jours dans le courant des mois d'aoust et septembre 1754 aux troupes du camp de Gray

Ancien possesseur : Argenson, Antoine-René de Voyer (1722-1787 ; marquis de Paulmy d')

Extracting Ramachandran torsional angle distributions from 2D NMR data using Tikhonov regularization /

Solid state nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for studying structural and dynamical properties of disordered and partially ordered materials, such as glasses, polymers, liquid crystals, and biological materials. In particular, twodimensional( 2D) NMR methods such as ^^C-^^C correlation spectroscopy under the magicangle- spinning (MAS) conditions have been used to measure structural constraints on the secondary structure of proteins and polypeptides. Amyloid fibrils implicated in a broad class of diseases such as Alzheimer's are known to contain a particular repeating structural motif, called a /5-sheet. However, the details of such structures are poorly understood, primarily because the structural constraints extracted from the 2D NMR data in the form of the so-called Ramachandran (backbone torsion) angle distributions, g{^,'4)), are strongly model-dependent. Inverse theory methods are used to extract Ramachandran angle distributions from a set of 2D MAS and constant-time double-quantum-filtered dipolar recoupling (CTDQFD) data. This is a vastly underdetermined problem, and the stability of the inverse mapping is problematic. Tikhonov regularization is a well-known method of improving the stability of the inverse; in this work it is extended to use a new regularization functional based on the Laplacian rather than on the norm of the function itself. In this way, one makes use of the inherently two-dimensional nature of the underlying Ramachandran maps. In addition, a modification of the existing numerical procedure is performed, as appropriate for an underdetermined inverse problem. Stability of the algorithm with respect to the signal-to-noise (S/N) ratio is examined using a simulated data set. The results show excellent convergence to the true angle distribution function g{(j),ii) for the S/N ratio above 100.

Exact Nonparametric Two-Sample Homogeneity Tests for Possibly Discrete Distributions.

In this paper, we study several tests for the equality of two unknown distributions. Two are based on empirical distribution functions, three others on nonparametric probability density estimates, and the last ones on differences between sample moments. We suggest controlling the size of such tests (under nonparametric assumptions) by using permutational versions of the tests jointly with the method of Monte Carlo tests properly adjusted to deal with discrete distributions. We also propose a combined test procedure, whose level is again perfectly controlled through the Monte Carlo test technique and has better power properties than the individual tests that are combined. Finally, in a simulation experiment, we show that the technique suggested provides perfect control of test size and that the new tests proposed can yield sizeable power improvements.