Author: William Ellison TaylorPublisher:
ISBN:
Category :
Languages : en
Pages : 60
Book Description
NBS Special Publication
Author: Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Book Description
Multiple Comparisons, Selection and Applications in Biometry
Author: Fred. M. HoppePublisher: CRC Press
ISBN: 1000104923
Category : Mathematics
Languages : en
Pages : 576
Book Description
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
R.A. Fisher: An Appreciation
Author: Stephen E. FienbergPublisher: Springer Science & Business Media
ISBN: 1461260795
Category : Mathematics
Languages : en
Pages : 219
Book Description
From the reviews: "This collection of essays surveys the most important of Fisher's papers in various areas of statistics. ... ... the monograph will be a useful source of reference to most of Fisher's major papers; it will certainly provide background material for much vigorous discussion." #Australian Journal of Statistics#1
Nonparametric Statistical Methods Using R
Author: Graysen ClinePublisher: Scientific e-Resources
ISBN: 1839473258
Category :
Languages : en
Pages : 334
Book Description
Nonparametric Statistical Methods Using R covers customary nonparametric methods and rank-based examinations, including estimation and deduction for models running from straightforward area models to general direct and nonlinear models for uncorrelated and corresponded reactions. The creators underscore applications and measurable calculation. They represent the methods with numerous genuine and mimicked information cases utilizing R, including the bundles Rfit and npsm. The book initially gives a diagram of the R dialect and essential factual ideas previously examining nonparametrics. It presents rank-based methods for one-and two-example issues, strategies for relapse models, calculation for general settled impacts ANOVA and ANCOVA models, and time-to-occasion examinations. The last two parts cover further developed material, including high breakdown fits for general relapse models and rank-based surmising for bunch associated information. The book can be utilized as an essential content or supplement in a course on connected nonparametric or hearty strategies and as a source of perspective for scientists who need to execute nonparametric and rank-based methods by and by. Through various illustrations, it demonstrates to perusers proper methodologies to apply these methods utilizing R.
A Course in Statistics with R
Author: Prabhanjan N. TattarPublisher: John Wiley & Sons
ISBN: 1119152720
Category : Computers
Languages : en
Pages : 693
Book Description
Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. Key features: Integrates R basics with statistical concepts Provides graphical presentations inclusive of mathematical expressions Aids understanding of limit theorems of probability with and without the simulation approach Presents detailed algorithmic development of statistical models from scratch Includes practical applications with over 50 data sets
Advances in Electrical Engineering and Automation
Author: Anne XiePublisher: Springer Science & Business Media
ISBN: 3642279511
Category : Technology & Engineering
Languages : en
Pages : 494
Book Description
EEA2011 is an integrated conference concentration its focus on Electrical Engineering and Automation. In the proceeding, you can learn much more knowledge about Electrical Engineering and Automation of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.
Statistical Inference in Science
Author: D.A. SprottPublisher: Springer Science & Business Media
ISBN: 0387227660
Category : Mathematics
Languages : en
Pages : 254
Book Description
A treatment of the problems of inference associated with experiments in science, with the emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly valuable feature is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. While this is a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.
Nitrogen Fixing Bacteria: Sustainable Growth of Non-legumes
Author: Dinesh Kumar MaheshwariPublisher: Springer Nature
ISBN: 9811949069
Category : Technology & Engineering
Languages : en
Pages : 396
Book Description
This book covers aspects of biological nitrogen fixation along with the unique signaling and interaction between the diazotrophic bacteria and plants, especially the non-legumes. Nitrogen is the most important growth-limiting nutrient in the ecosystems and biological nitrogen fixation involving microbial symbionts, mainly rhizobia and legumes holds enormous interest across the globe. However, free-living rhizobacteria of non-legumes especially cereals, also establish themselves within the root system, fixing nitrogen and contributing to plant productivity, soil fertility, and agricultural sustainability. These non-symbiotic nitrogen fixers additionally exhibit various plant growth-promoting traits elevating productivity, fortifying nutrient content, and managing water stress in plants. The recent perspectives highlighting the mechanisms and background of non-symbiotic nitrogen fixation provide answers to unravel the potential of nitrogenase and various spectra of habitats of rhizobia and other diazotrophic bacteria. Further, the application of genetic engineering and the development of nitrogen-fixing cereals can provide a possible solution to the problem of food shortage. The book includes various scientific inputs providing comprehensive knowledge about the emergence of agricultural sustainability through nitrogen-fixing bacteria. The book illustrates the systematic mechanisms involved in biological nitrogen fixation through various illustrations, schematic drawings, and flow charts aiding in better understanding. The chapters elaborate on the physiology and metabolism of plant-bacteria interaction in different crops under diverse environmental conditions. Thus, the volume will provide a holistic scenario helping in advancing the novel plant-microbe interactions, cell-signaling, and plant-molecular interactions. The book will assist the agronomists, microbiologists, ecologists, plant pathologists, molecular biologists, environmentalists, policymakers, conservationists, and NGOs to develop biofertilizers and bioinoculants using various genera of microbes and contribute to the targets of sustainable goals in an eco-friendly manner.
Multivariate Statistical Analysis
Author: Parimal MukhopadhyayPublisher: World Scientific
ISBN: 9812791752
Category : Mathematics
Languages : en
Pages : 568
Book Description
"This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each." "This book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians." --Book Jacket.
Aspects of Multivariate Statistical Theory
Author: Robb J. MuirheadPublisher: John Wiley & Sons
ISBN: 0470316705
Category : Mathematics
Languages : en
Pages : 706
Book Description
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field." -Mededelingen van het Wiskundig Genootschap "This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view." -The Statistician Aspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference.