Wiesbaden : Bergmann, 1910.

Wurzburg : Stahel, 1867.

Leipzig : J. Naumann, 1862.

Wien : A. Holder, 1892.

Leipzig : Franz Deuticke, 1897.

Erlangen : F. Enke, 1874-1875.

Erlangen : E. Besold, 1879.

Berlin : T. Trautwein, 1842.

Leipzig : O. Wigand, 1837.

Leipzig : H. Bethmann, 1855-1857.

Leipzig : T.O. Weigel, 1859.

London : J. and A. Churchill, 1884.

London : Longmans, Green, 1872.

Paris : J.-B. Baillière, 1878.

Paris : Société d’éditions scientifiques, 1893.

Paris : J.-B. Baillière, 1878.

London : Longmans, Green, 1902.

Paris : Germer-Bailliere, 1877.

Detroit, Mich. : G.S. Davis, 1891.

Detroit, Mich. : G.S. Davis, 1893.

Edinburgh : W.F. Clay, 1894.

London : printed for J. Callow, 1814.

Bath : And sold by Underwood, London, 1825.

London : H. Renshaw, 1898.

London : Bailliere, Tindall and Cox, 1910.

Edinburgh : Young J. Pentland, 1895.

Londres : Paris, 1866.

Paris : Béchet jeune, 1838.

A state law aimed at encouraging—or prodding—small, rural districts to merge has hit some speed bumps on the road to implementation.

[London?] : [Illustrated London News?], [between 1850 and 1870?]

London (Braynes-Row, Spa-Fields) : Publish'd ... by R. Pollard printseller, Jany: 30th; 1797.

[Spain?], An. 1817.

Rockville, Maryland : National Institute on Drug Abuse, 1984.

An important problem in the field of Topological Data Analysis is defining topological summaries which can be combined with traditional data analytic tools. In recent work Bubenik introduced the persistence landscape, a stable representation of persistence diagrams amenable to statistical analysis and machine learning tools. In this paper we generalise the persistence landscape to multiparameter persistence modules providing a stable representation of the rank invariant. We show that multiparameter landscapes are stable with respect to the interleaving distance and persistence weighted Wasserstein distance, and that the collection of multiparameter landscapes faithfully represents the rank invariant. Finally we provide example calculations and statistical tests to demonstrate a range of potential applications and how one can interpret the landscapes associated to a multiparameter module.

Christian Rau.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 3, 549--557.

Abstract:
We revisit a shape inversion formula derived by Panaretos in the context of a particle density estimation problem with unknown rotation of the particle. A distribution is presented which imitates, or “fakes”, the uniformity or Haar distribution that is part of that formula.

Emilia Athayde, Assis Azevedo, Michelli Barros, Víctor Leiva.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 2, 301--328.

Abstract:
The Birnbaum–Saunders (BS) distribution has been largely studied and applied. A random variable with BS distribution is a transformation of another random variable with standard normal distribution. Generalized BS distributions are obtained when the normally distributed random variable is replaced by another symmetrically distributed random variable. This allows us to obtain a wide class of positively skewed models with lighter and heavier tails than the BS model. Its failure rate admits several shapes, including the unimodal case, with its change-point being able to be used for different purposes. For example, to establish the reduction in a dose, and then in the cost of the medical treatment. We analyze the failure rates of generalized BS distributions obtained by the logistic, normal and Student-t distributions, considering their shape and change-point, estimating them, evaluating their robustness, assessing their performance by simulations, and applying the results to real data from different areas.