1.

Record Nr.

UNISA996387124403316

Autore

Naylor James <1617?-1660.>

Titolo

A discovery of faith, wherein is laid down the ground of true faith [[electronic resource] ] : which sancifieth and purifieth the heart, and worketh out the carnal part, shewing the way that leadeth to salvation : with the difference betwixt the two seeds, the one of Mount Sinai, which tendeth to bondage, and the other, which is the immortal seed of God, begotten by the immortal word, which liveth and abideth forever

Pubbl/distr/stampa

London, : Printed for Giles Calvert ..., 1653

Descrizione fisica

[1], 16 p

Soggetti

Faith

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Reproduction of original in Huntington Library.

Attributed to James Nayler. cf. NUC.

Signed: "James Nayler. A prisoner at appleby in Westmorland for the truths sake."

Sommario/riassunto

eebo-0113



2.

Record Nr.

UNINA9910795555003321

Autore

Thordarson Thor

Titolo

Iceland / / Thor Thordarson, Ármann Höskuldsson

Pubbl/distr/stampa

Edinburgh : , : Dunedin Academic Press, , 2014

©2014

ISBN

1-78046-646-3

1-78046-647-1

Edizione

[3rd ed.]

Descrizione fisica

1 online resource (281 pages)

Collana

Classic Geology in Europe

Altri autori (Persone)

HöskuldssonÁrmann

Disciplina

554.912

Soggetti

Geology - Iceland

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Intro -- Contents -- Preface -- Acknowledgements -- Introduction -- Travel in Iceland -- Pronunciation -- The geology of Iceland -- Introduction -- Geological setting: a global perspective -- Geological framework -- Volcanism -- Neogene, Quaternary, Holocene -- The southwest -- General overview -- Greater Reykjavík -- Reykjanes-Grindavík-Kleifarvatn -- The south -- General overview -- Þingvellir-Geysir-Gullfoss -- Hreppar-Þjórsárdalur-Hekla -- Vestmannaeyjar (the Westman Islands) -- General overview -- Heimaey -- The 1963-7 Surtsey eruption -- The central south -- General overview -- Eyjafjallajökull and Mýrdalur -- The Fire Districts -- The southeast and east -- General overview -- Suðursveit-Lón-Álftafjörður -- The eastern fjords -- The northeast -- General overview -- Jökulsá-Tjörnes -- Krafla-Mývatn -- The north and northwest -- General overview -- Fnjóskadalur to Skagi -- The west -- Snæfellsnes-Borgarfjörður - volcanic zones and rift jumps -- The Highlands -- General considerations -- Askja-Kverkfjöll -- Landmannalaugar-Veiðivötn -- Addendum -- Glossary -- Bibliography -- Index -- GPS coordinates.

Sommario/riassunto

For over a decade this concise and authoritative field guide to an exceptional natural laboratory has been an essential companion for all those visiting Iceland to observe the Earth in action.



3.

Record Nr.

UNINA9910404091103321

Autore

Kim Jong-Min

Titolo

Uncertainty Quantification Techniques in Statistics

Pubbl/distr/stampa

MDPI - Multidisciplinary Digital Publishing Institute, 2020

ISBN

3-03928-547-5

Descrizione fisica

1 online resource (128 p.)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Uncertainty quantification (UQ) is a mainstream research topic in applied mathematics and statistics. To identify UQ problems, diverse modern techniques for large and complex data analyses have been developed in applied mathematics, computer science, and statistics. This Special Issue of Mathematics (ISSN 2227-7390) includes diverse modern data analysis methods such as skew-reflected-Gompertz information quantifiers with application to sea surface temperature records, the performance of variable selection and classification via a rank-based classifier, two-stage classification with SIS using a new filter ranking method in high throughput data, an estimation of sensitive attribute applying geometric distribution under probability proportional to size sampling, combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data, robust linear trend test for low-coverage next-generation sequence data controlling for covariates, and comparing groups of decision-making units in efficiency based on semiparametric regression.