Ecological Methods
Ecological Methods

Author: T.R. Southwood

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 548

ISBN-13: 9401572917

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The virtual impossibility of extracting the many different species from a habitat with equal efficiency by a single method (e.g. Nef, 1960). 1.1 Population estimates Population estimates can be classified into a number of different types; the most convenient classification is that adopted by Morris (1955), although he used the terms somewhat differently in a later paper (1960). 1.1.1 Absolute and related estimates The animal numbers may be expressed as a density per unit area of the ground of the habitat. Such estimates are given by nearest neighbour and related techniques (Chapter 2), marking and recapture (Chapter 3), by sampling a known fraction of the habitat (Chapter 4-6) and by removal sampling and random walk techniques (Chapter 7). Absolute population The number of animals per unit area (e.g. hectare, acre). It is almost impossible to construct a budget or to study mortality factors without the conversion of population estimates to absolute figures, for not only do insects often move from the plant to the soil at different developmental stages, but the amount of plant material is itself always changing. The importance of obtaining absolute estimates cannot be overemphasized.

Estimation and Analysis of Insect Populations
Estimation and Analysis of Insect Populations

Author: Lyman L. McDonald

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 500

ISBN-13: 1461236649

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The papers in this volume were presented at a symposium/workshop on "The Estimation and Analysis of Insect Populations" that was held at the University of Wyoming, Laramie, in January, 1988. The meeting was organized with financial support from the United States - New Zealand Cooperative Science Program and the University of Wyoming. The purpose was to bring together approximately equal numbers of quantitative biologists and biometricians in order to (1) provide a synthesis and evaluation of currently available methods for modeling and estimating parameters of insect population, and to (2) stimulate research into new methods where this is appropriate. The symposium/workshop attracted 46 participants. There were 35 papers presented in four subject areas: analysis of stage-frequency data, modeling of population dynamiCS, analysis of spatial data, and general sampling and estimation methods. New results were presented in all these areas. All except one of the papers is included in the present volume.

Sampling Methods in Soybean Entomology
Sampling Methods in Soybean Entomology

Author: M. Kogan

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 597

ISBN-13: 1461299985

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Insects as a group occupy a middle ground in the biosphere between bacteria and viruses at one extreme, amphibians and mammals at the other. The size and gen eral nature of insects present special problems to the student of entomology. For example, many commercially available instruments are geared to measure in grams, while the forces commonly encountered in studying insects are in the mil ligram range. Therefore, techniques developed in the study of insects or in those fields concerned with the control of insect pests are often unique. Methods for measuring things are common to all sciences. Advances sometimes depend more on how something was done than on what was measured; indeed a given field often progresses from one technique to another as new methods are discovered, developed, and modified. Just as often, some of these techniques fmd their way into the classroom when the problems involved have been suffici ently ironed out to permit students to master the manipulations in a few labo ratory periods. Many specialized techniques are confined to one specific research laboratory. Although methods may be considered commonplace where they are used, in another context even the simplest procedures may save considerable time. It is the purpose of this series (1) to report new developments in methodology, (2) to reveal sources of groups who have dealt with and solved particular entomological problems, and (3) to describe experiments which might be applicable for use in biology laboratory courses.

The Molecular Biology of Insect Disease Vectors
The Molecular Biology of Insect Disease Vectors

Author: J.M. Crampton

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 590

ISBN-13: 9400915357

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Only one generation ago, entomology was a proudly isolated discipline. In Comstock Hall, the building of the Department of Entomology at Cornell University where I was first introduced to experimental science in the laboratory of Tom Eisner, those of us interested in the chemistry of life felt like interlopers. In the 35 years that have elapsed since then, all of biology has changed, and entomology with it. Arrogant molecular biologists and resentful classical biologists might think that what has happened is a hostile take-over of biology by molecular biology. But they are wrong. More and more we now understand that the events were happier and much more exciting, amounting to a new synthesis. Molecular Biology, which was initially focused on the simplest of organisms, bacteria and viruses, broke out of its confines after the initial fundamental questions were answered - the structure of DNA, the genetic code, the nature of regulatory genes - and, importantly, as its methods became more and more generally applicable. The recombinant DNA revo lution of the 1970s, the development of techniques for sequencing macromolecules, the polymerase chain reaction, new molecular methods of genetic analysis, all brought molecular biology face to face with the infinite complexity and the exuber ant diversity of life. Molecular biology itself stopped being an isolated diScipline, pre occupied with the universal laws of life, and became an approach to addressing fas cinating specific problems from every field of biology.

Pivotal Measures in Statistical Experiments and Sufficiency
Pivotal Measures in Statistical Experiments and Sufficiency

Author: Sakutaro Yamada

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 138

ISBN-13: 1461226449

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In the present work I want to show a mathematical study of the statistical notion of sufficiency mainly for undominated statistical experiments. The famous Burkholder's (1961) and Pitcher's(1957) examples motivated some researchers to develop new theory of sufficiency. Le Cam (1964) is probably the most excellent paper in this field of study. This note also belongs to the same area. Though it is more restrictive than Le Cam's paper(1964), a study which is connected more directly with the classical papers of Halmos and Savage(1949) , and Bahadur(1954) is shown. Namely I want to develop a study based on the notion of pivotal measure which was introduced by Halmos and Savage(1949) . It is great pleasure to have this opportunity to thank Professor H. Heyer and Professor H. Morimoto for their careful reading the manuscript and valuable comments on it. I am also thankful to Professor H. Luschgy and Professor D. Mussmann for thei r proposal of wr i ting "the note". I would like to dedicate this note to the memory of my father Eizo.

Advances in GLIM and Statistical Modelling
Advances in GLIM and Statistical Modelling

Author: Ludwig Fahrmeir

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 238

ISBN-13: 1461229529

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This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.

Stochastic Networks
Stochastic Networks

Author: Paul Glasserman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 305

ISBN-13: 146124062X

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Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events - roughly, the former deals with the typical behavior of networks, and the latter with significant atypical behavior. Both are classical topics, of interest since the early days of queueing theory, that have experienced renewed interest mo tivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple job classes in semiconduc tor manufacturing, the so-called "re-entrant lines;" and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is hence to present a sample - by no means comprehensive - of recent research problems, methodologies, and results in these two exciting and burgeoning areas. The volume is organized in two parts, with the first part focusing on stability, and the second part on rare events. But it is impossible to draw sharp boundaries in a healthy field, and inevitably some articles touch on both issues and several develop links with other areas as well. Part I is concerned with the issue of stability in queueing networks.

Experimental Techniques in Host-Plant Resistance
Experimental Techniques in Host-Plant Resistance

Author: Akshay Kumar Chakravarthy

Publisher: Springer

Published: 2019-04-24

Total Pages: 292

ISBN-13: 9811326525

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The earliest land-plants evolved around 450 million years ago from aquatic plants devoid of vascular systems. The diversification of flowering plants (angiosperms) during the Cretaceous period is associated with speciation in insects. Early insect herbivores were mandibulate, but the evolution of vascular plants led to the co-evolution of other forms of herbivory, such as leaf feeding, sap-sucking, leaf mining, tissue borer, gall forming and nectar-feeding. Plant defense against biotic stress is an adaptive evolution by plants to increase their fitness. Plants use a variety of strategies to defend against damage caused by herbivores. Plant defense mechanisms are either inbuilt or induced. Inbuilt mechanisms are always present within the plant, while induced defenses are produced or mobilized to the site where a plant is injured. Induced defense mechanisms include morphological, physiological changes and production of secondary metabolites. Host plant resistance (HPR) is one of the eco-friendly methods of pest management. It protects the crop by making it less suitable or tolerant to the pest. While books on theoretical aspects of HPR are available, an exclusive book on the practical aspects is lacking. There is a wide gap between the theory and the experimental procedures required for conducting studies on plant resistance for the post graduate students and young researchers. A dire need for a book on practical aspects was strongly felt. Initially a practical manual was prepared which eventually evolved into the present book. We hope this book provides information on major aspects of screening crop germplasm, sampling techniques, genetic and biochemical basis of HPR, behavioural studies on pheromone and plant volatiles, and some of the recent approaches in HPR. Further, the references provide the scientific articles and books as additional information to readers and workers alike.

Wavelets and Statistics
Wavelets and Statistics

Author: Anestis Antoniadis

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 407

ISBN-13: 1461225442

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Despite its short history, wavelet theory has found applications in a remarkable diversity of disciplines: mathematics, physics, numerical analysis, signal processing, probability theory and statistics. The abundance of intriguing and useful features enjoyed by wavelet and wavelet packed transforms has led to their application to a wide range of statistical and signal processing problems. On November 16-18, 1994, a conference on Wavelets and Statistics was held at Villard de Lans, France, organized by the Institute IMAG-LMC, Grenoble, France. The meeting was the 15th in the series of the Rencontres Pranco-Belges des 8tatisticiens and was attended by 74 mathematicians from 12 different countries. Following tradition, both theoretical statistical results and practical contributions of this active field of statistical research were presented. The editors and the local organizers hope that this volume reflects the broad spectrum of the conference. as it includes 21 articles contributed by specialists in various areas in this field. The material compiled is fairly wide in scope and ranges from the development of new tools for non parametric curve estimation to applied problems, such as detection of transients in signal processing and image segmentation. The articles are arranged in alphabetical order by author rather than subject matter. However, to help the reader, a subjective classification of the articles is provided at the end of the book. Several articles of this volume are directly or indirectly concerned with several as pects of wavelet-based function estimation and signal denoising.