Today, the market is of cut-throat competition. All the players in the market are focusing on expanding their empire at the cost of customer loyalty and brand establishment. The environment in which they operate is fast changing and includes both internal and external environment. Internal environment is affected by vision, mission, strategic policies and other internal mechanisms of the organization. On the other hand, external environment is affected by the factors that are beyond the control of business.
The number of objective questions: representing from vast canvas of agriculture runs into thousands thus covering a wide spectrum of subject matter. The book begins with general agriculture and almost covers exhaustive outlines of all the important facts. Any specific interest for furthering the knowledge is facilitated by twenty different sub subjects of agricultural sciences namely: Agriculture (General), Ecology, Plant Genetics Resources, Agricultural Meteorology, Farm Machinery Engineering, Soil Science, Agricultural Extension, Genetics, Soil Water Conservation Engineering, Agricultural Economics, ICT & Remote Sensing in Agriculture, Statistics, Agronomy, Microbiology, Watershed Engineering, Biotechnology, Nematology, Model and IARI Sample Papers, Breeding, Pathology, Entomology, Physiology, Environmental Science. The questions in the specific chapters range chapters from basics to some in-depth, conceptual questions. The questions have been further facilitated with answers being given at the same place. Finally there are model test papers to particularly address the concerns of examinees. The book is exhaustive and covers the entire gamut of examination pattern in agriculture and will prove to be a worthy companion for the examinees. The general coverage of the book will enable a reader to prepare for a vast range of syllabi and examinations. It is believed that the present book is very powerful in terms of its general exhaustively and also in terms of its subject selection.
Proceedings from a 2016 sustainability symposium Information from REWAS 2016 proceedings were collected and published in REWAS 2016: Towards Materials Resource Sustainability. This collection covers the proceedings of the symposium sponsored by the Recycling and Environmental Technologies Committee; the Materials and Society Committee; the Extracting & Processing Division; and the Light Metals Division of the Minerals, Metals and Materials Society. Topics covered include: enabling and understanding the sustainability related to ferrous and non-ferrous metals processing; batteries; rare earth element applications; and building materials. At REWAS 2016, materials professionals exchanged ideas with other researchers and stakeholders to outline a path toward a resource-efficient society.
This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existing ‘working’ correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of independent families by using the class of auto-correlation structures conditional on the random effects. The book also provides models and inferences for discrete longitudinal data in the adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special cares for mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics and econometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial University in St. John’s, Canada. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He has published about 110 papers in statistics journals in the area of multivariate analysis, time series analysis including forecasting, sampling, survival analysis for correlated failure times, robust inferences in generalized linear mixed models with outliers, and generalized linear longitudinal mixed models with bio-statistical and econometric applications. He has served as an associate editor for six years for Canadian Journal of Statistics and for four years for the Journal of Environmental and Ecological Statistics. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. Professor Sutradhar was awarded 2007 distinguished service award of Statistics Society of Canada for his many years of services to the society including his special services for society’s annual meetings.
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