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Ion Traps
The author provides, in nine chapters, a compact and up-to-date coverage of the entire range of applications of the two most important ion traps: the Paul('radiofrequency') trap and the Penning('dc) trap. The book begins with full details of the ion confinement principles of both these traps; this is followed by a presentation of the basic experimental techniques, including details of a few actual traps. There is then a chapter on the methods of ion cooling, now an essential integral part of all trap-based experiments. The next four chapters provide a comprehensive coverage of applications in four major areas, broadly classified as: atomic physics, frequency standards, collision studies, and analytical mass spectrometry. The text is appended by a set of more than 600 fully titled chronologically arranged references which mirror the growth of the field as well as providing a comprehensive guide to original research papers. The text should be useful to students both at thesenior undergraduate and beginning graduate level as a general reader for professionals in atomic physics, chemical physics, mass spectometry and related fields.
Quantum Mechanics
Provides a concise yet self-contained introduction to the formal framework of quantum mechanics, its application to physical problems and the interpretation of the theory.
Innovations In Agriculture For A Self-Reliant India
The book brings out an encyclopaedic picture of the potential areas of transformative Indian agriculture through innovations in science, technology, institutional and policy affairs directed in building a self-reliant India (Atmanirbhar Bharat). The book has addressed the challenges to make India free from hunger, poverty and undernutrition, and suggested interventions with focus on all-inclusiveness and sustainability, peace and prosperity, and resilience to climate and other volatilities. Most of these propositions are analogous to the Sustainable Development Goals - Agenda 2030, which India has committed to achieve. 36 chapters has covered the following priority areas: accelerated and sus...
Wildlife Review
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Climate Change Adaptations in Dryland Agriculture in Semi-Arid Areas
This book highlights the approaches for achieving trans-disciplinary research integration for “semi-arid dryland agriculture systems” under changing climates, while also identifying the elements of a collaborative research agenda that are needed to advance global food security. The book emphasizes climate change being a reality and how drylands are bearing the brunt in diverse ways. The major impact of dryland agriculture is on communities that need to: avoid the short- and long-term impacts of the changing climate; adapt strategies that can minimize these impacts; and be able to mitigate climate change, for which they need climate smart interventions. These interventions are only realized through knowledge and experience sharing among stakeholders from different sectors and backgrounds. It is in this context that the publication was seen as a necessity in order to bring together ideas that will transform lives and build adaptation capacities, thereby providing the much-needed products in communities leading to development
Annual Report
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Handbook of Sequential Analysis
Sequential analysis refers to the body of statistical theory and methods where the sample size may depend in a random manner on the accumulating data. A formal theory in which optimal tests are derived for simple statistical hypotheses in such a framework was developed by Abraham Wald in the early 1
Bayesian Statistical Methods
Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures. In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to prior...
Sequential Estimation
The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important...
