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A First Course In Statistical Method


A First Course In Statistical Method
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A First Course In Statistical Method


A First Course In Statistical Method
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Author : George Irving Gavett
language : en
Publisher:
Release Date : 1925

A First Course In Statistical Method written by George Irving Gavett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1925 with Statistics categories.




Interpreting Data


Interpreting Data
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Author : A J B Anderson
language : en
Publisher: CRC Press
Release Date : 1989-01-01

Interpreting Data written by A J B Anderson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-01-01 with Mathematics categories.


Textbook for first-year students. Reviews the criteria for the design of questionaires, planned experiments and surveys; also, considers research methodology in general. Application areas range over economic and social studies, demography, epidemiology and the life sciences in general. Available in paper at $24. Annotation copyrighted by Book News, Inc., Portland, OR



Introduction To Statistical Methods For Clinical Trials


Introduction To Statistical Methods For Clinical Trials
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Author : Thomas D. Cook
language : en
Publisher: CRC Press
Release Date : 2007-11-19

Introduction To Statistical Methods For Clinical Trials written by Thomas D. Cook and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-19 with Mathematics categories.


This text provides a solid understanding of the various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. It covers basic experimental design, sample size, randomization procedures, interim and survival analyses, quality of life assessment, and longitudinal methods. The book describes all phases of a clinical trial and explores the advantages of and objections to the intent-to-treat principle as well as its implementation. With exercises at the end of most chapters, it also illustrates methods using examples with real data from a variety of disease areas, including heart and lung diseases, cancer, and AIDS.



Statistical Methods In Agriculture And Experimental Biology


Statistical Methods In Agriculture And Experimental Biology
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Author : Roger Mead
language : en
Publisher: CRC Press
Release Date : 2017-11-22

Statistical Methods In Agriculture And Experimental Biology written by Roger Mead and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Mathematics categories.


The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that broaden its scope, increase its utility, and bring the treatment thoroughly up to date. It provides complete coverage of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental methodology, this treatment also includes more advanced topics that the authors believe help develop an appreciation of the breadth of statistical methodology now available. The emphasis is not on mathematical detail, but on ensuring students understand why and when various methods should be used. New in the Third Edition: A chapter on the two simplest yet most important methods of multivariate analysis Increased emphasis on modern computer applications Discussions on a wider range of data types and the graphical display of data Analysis of mixed cropping experiments and on-farm experiments



Statistical Methods For Spatial Data Analysis


Statistical Methods For Spatial Data Analysis
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Author : Oliver Schabenberger
language : en
Publisher: CRC Press
Release Date : 2017-01-27

Statistical Methods For Spatial Data Analysis written by Oliver Schabenberger and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with Computers categories.


Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.



Understanding Advanced Statistical Methods


Understanding Advanced Statistical Methods
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Author : Peter Westfall
language : en
Publisher: CRC Press
Release Date : 2013-04-09

Understanding Advanced Statistical Methods written by Peter Westfall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-09 with Mathematics categories.


Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.



A First Course In Statistical Method


A First Course In Statistical Method
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Author : George Irving Gavett
language : en
Publisher:
Release Date : 1937

A First Course In Statistical Method written by George Irving Gavett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1937 with Statistics categories.




A First Course In Statistics


A First Course In Statistics
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Author : E. F. Lindquist
language : en
Publisher:
Release Date : 1938

A First Course In Statistics written by E. F. Lindquist and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1938 with Education categories.




A First Course In Statistical Method Second Edition


A First Course In Statistical Method Second Edition
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Author : George Irving GAVETT
language : en
Publisher:
Release Date : 1937

A First Course In Statistical Method Second Edition written by George Irving GAVETT and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1937 with categories.




A First Course Mathematical Statistics


A First Course Mathematical Statistics
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Author : C. E. Weatherburn
language : en
Publisher: CUP Archive
Release Date : 1949-01-02

A First Course Mathematical Statistics written by C. E. Weatherburn and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949-01-02 with Mathematics categories.


This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.