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1. |
Record Nr. |
UNINA9910454146203321 |
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Autore |
Beveridge W. I. B (William Ian Beardmore), <1908-2006.> |
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Titolo |
Frontiers in comparative medicine [[electronic resource] /] / [by] W.I.B. Beveridge ; foreword by Robert A. Good |
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Pubbl/distr/stampa |
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Minneapolis, : University of Minnesota Press, [1972] |
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ISBN |
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Descrizione fisica |
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1 online resource (105 p.) |
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Collana |
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The Wesley W. Spink lectures on comparative medicine ; ; v. 1 |
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Disciplina |
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Soggetti |
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Pathology, Comparative |
Medicine, Comparative |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 95-98) and index. |
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Nota di contenuto |
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CONTENTS; FOREWORD; INTRODUCTION; 1 THE LOGIC OF THE COMPARATIVE METHOD; 2 ANIMAL MODELS OF HUMAN DISEASES; 3 COMPARATIVE STUDY OF INFLUENZA; ABOUT THE AUTHOR; REFERENCES; INDEX |
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Sommario/riassunto |
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Frontiers in Comparative Medicine was first published in 1972. In this initial volume of the series to be based on the Wesley W. Spink Lectures on Comparative Medicine, Dr. Beveridge, the noted British scientist, discusses the contributions to human medicine resulting from studies of disease in animals. The book serves as an excellent introduction to this important aspect of science, suitable for general readers as well as for those studying or working in the medical, biological, or social sciences. Dr. Beveridge examines the methodology of comparative science and tells of the remarkable serie |
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2. |
Record Nr. |
UNINA9910557154003321 |
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Autore |
Neitzel Frank |
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Titolo |
Stochastic Models for Geodesy and Geoinformation Science |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (200 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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In geodesy and geoinformation science, as well as in many other technical disciplines, it is often not possible to directly determine the desired target quantities. Therefore, the unknown parameters must be linked with the measured values by a mathematical model which consists of the functional and the stochastic models. The functional model describes the geometrical-physical relationship between the measurements and the unknown parameters. This relationship is sufficiently well known for most applications. With regard to the stochastic model, two problem domains of fundamental importance arise: 1. How can stochastic models be set up as realistically as possible for the various geodetic observation methods and sensor systems? 2. How can the stochastic information be adequately considered in appropriate least squares adjustment models? Further questions include the interpretation of the stochastic properties of the computed target values with regard to precision and reliability and the use of the results for the detection of outliers in the input data (measurements). In this Special Issue, current research results on these general questions are presented in ten peer-reviewed articles. The basic findings can be applied to all technical scientific fields where measurements are used for the determination of parameters to describe geometric or physical phenomena. |
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