Lectures On Categorical Data Analysis
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Lectures On Categorical Data Analysis
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Author : Tamás Rudas
language : en
Publisher: Springer
Release Date : 2018-03-30
Lectures On Categorical Data Analysis written by Tamás Rudas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-30 with Social Science categories.
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.
Lectures On Advanced Topics In Categorical Data Analysis
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Author : Tamás Rudas
language : en
Publisher: Springer Nature
Release Date : 2024-12-16
Lectures On Advanced Topics In Categorical Data Analysis written by Tamás Rudas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-16 with Mathematics categories.
This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences. It presents an intuitive and unified discussion of an array of themes in categorical data analysis, and the emphasis on structure over stochastics renders many of the methods applicable in machine learning environments and for the analysis of big data. The book focuses on graphical models, their application in causal analysis, the analytical properties of parameterizations of multivariate discrete distributions, marginal models, and coordinate-free relational models. To guide the readers in future research, the volume provides references to original papers and also offers detailed proofs of most of the significant results. Like the previous volume, it features exercises and research questions, making it appropriate for graduate students, as well as for active researchers.
Combining Modelling And Analyzing Imprecision Randomness And Dependence
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Author : Jonathan Ansari
language : en
Publisher: Springer Nature
Release Date : 2024-08-09
Combining Modelling And Analyzing Imprecision Randomness And Dependence written by Jonathan Ansari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Computers categories.
This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024. It covers recent advances in the field of probability, statistics, and data science, with a particular focus on dealing with dependence, imprecision and incomplete information. Reflecting the fact that data science continues to evolve, this book serves as a bridge between different groups of experts, including statisticians, mathematicians, computer scientists, and engineers, and encourages interdisciplinary research. The selected contributions cover a wide range of topics such as imprecise probabilities, random sets, belief functions, possibility theory, and dependence modeling. Readers will find discussions on clustering, depth concepts, dimensionality reduction, and robustness, reflecting the conference's commitment to addressing real-world challenges through innovative methods.
Python For Probability Statistics And Machine Learning
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Author : José Unpingco
language : en
Publisher: Springer Nature
Release Date : 2022-11-04
Python For Probability Statistics And Machine Learning written by José Unpingco and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-04 with Technology & Engineering categories.
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with "Programming Tips" that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers. Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, interpretability, and regularization. Many abstract mathematical ideas, such as modes of convergence in probability, are explained and illustrated with concrete numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
Practical Clinical Research Design And Application
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Author : Peter D. Fabricant
language : en
Publisher: Springer Nature
Release Date : 2024
Practical Clinical Research Design And Application written by Peter D. Fabricant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Clinical medicine categories.
Every practicing physician, surgeon, advanced practice provider, and allied health professional interacts regularly with peer-reviewed literature: either while creating it, or consuming it. Despite the countless hours over many years spent in formal clinical training, many clinicians and clinician-authors lack advanced training or a working nuanced knowledge of research methodology and study design. Institutions have responded to this gap by reinforcing their ranks with statistical and methodological support in the form of data analysts, epidemiologists, and biostatisticians. However, clinicians are often unable to “talk the methodological talk” to guide them. This ultimately results in a stark disconnect between clinically relevant aspects of research and appropriate study design. Existing research methodology texts are largely written by statisticians, epidemiologists, and other academic public health experts. These are not easily digestible by practicing clinicians who need practical knowledge of this content to design their own research or enhance their understanding of the medical literature. Furthermore, these texts are often too detailed or “in the weeds” with regard to mathematics and statistical mechanics. Practical knowledge is not centrally located; rather, it is spread out among multiple books, articles, and other sources. This book is a concise, accessible, and practical guide for clinicians to read and reference when designing and reviewing clinical research. It is designed to be a standalone text, written “by a clinician, for clinicians” by a practicing clinical research expert who has had advanced formal training in research methodology, biostatistics, and epidemiology. Topics covered include descriptive and comparative statistics, power and sample size calculations, diagnostic tests, bias, and study design. In each chapter, consideration is given to study mechanics, advantages and disadvantages of each design, and illustrative analytical reviews of existing literature.
Political Science Research Methods
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Author : Janet Buttolph Johnson
language : en
Publisher: CQ Press
Release Date : 2019-07-04
Political Science Research Methods written by Janet Buttolph Johnson and has been published by CQ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-04 with Political Science categories.
Understand the “how” and the “why” behind research in political science. Political Science Research Methods by Janet Buttolph Johnson, H. T. Reynolds, and Jason D. Mycoff helps you to understand the logic behind research design by guiding you through a step-by-step process that explains when and why a researcher would pursue different kinds of methods. The highly anticipated Ninth Edition of this trusted resource provides more international examples, an increased focus on the role ethics play in the research process, increased attention to qualitative research methods, and expanded coverage on the role of the internet in research and analysis.
Lectures On Random Voronoi Tessellations
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Author : Jesper Moller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Lectures On Random Voronoi Tessellations written by Jesper Moller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Tessellations are subdivisions of d-dimensional space into non-overlapping "cells". Voronoi tessellations are produced by first considering a set of points (known as nuclei) in d-space, and then defining cells as the set of points which are closest to each nuclei. A random Voronoi tessellation is produced by supposing that the location of each nuclei is determined by some random process. They provide models for many natural phenomena as diverse as the growth of crystals, the territories of animals, the development of regional market areas, and in subjects such as computational geometry and astrophysics. This volume provides an introduction to random Voronoi tessellations by presenting a survey of the main known results and the directions in which research is proceeding. Throughout the volume, mathematical and rigorous proofs are given making this essentially a self-contained account in which no background knowledge of the subject is assumed.
The Nih Record
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Author :
language : en
Publisher:
Release Date : 2000
The Nih Record written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Medicine categories.
Scientific Bulletin
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Author :
language : en
Publisher:
Release Date : 1980
Scientific Bulletin written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Research categories.
Teaching Statistics And Quantitative Methods In The 21st Century
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Author : Joseph Lee Rodgers
language : en
Publisher: Routledge
Release Date : 2020-07-14
Teaching Statistics And Quantitative Methods In The 21st Century written by Joseph Lee Rodgers and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-14 with Education categories.
This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers. Is it time for a radical revision in our pedagogical orientation? How are we currently teaching introductory statistics and quantitative methods, and how should we teach them? What innovations are used, what is in development? This ground-breaking edited volume addresses these questions and more, providing cutting-edge guidance from highly accomplished teachers. Many current textbooks and syllabi differ in only superficial ways from those used 50 years ago, yet the field of quantitative methods—and its relationship to the research enterprise—has expanded in many important ways. A philosophical axiom underlying this book is that introductory teaching should prepare students to potentially enter more advanced quantitative methods training and ultimately to become accomplished researchers. The reader is introduced to classroom innovation, and to both pragmatic and philosophical challenges to the status quo, motivating a broad revolution in how introductory statistics and quantitative methods are taught. Designed to update and renovate statistical pedagogy, this material will stimulate students, new instructors, and experienced teachers.