Parametric Methods For Beginners

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Parametric Methods for Beginners

Author : Umut Toker
Publisher : Taylor & Francis
ISBN 13 : 1000816613
Total Pages : 218 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Parametric Methods for Beginners by : Umut Toker

Download or read book Parametric Methods for Beginners written by Umut Toker and published by Taylor & Francis. This book was released on 2022-12-30 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces architectural applications of parametric methods in design, drawing direct connections between each phase of the architectural design process with relevant parametric approaches. Readers will find applications of parametric methods with straightforward explanations of concepts, commands as well as applicable examples for each phase of the architectural design process. In addition to learning about the historical and conceptual background of parametric design, readers can use this book as a go-to source during their day-to-day design practice. Chapters are organized according to different phases of the architectural design process, such as site analysis, spatial organization, skin systems, and environmental performance analyses. Together, they deliver concepts, applications, and examples utilizing in-depth visual guides that explain commands, their outcomes, and their interrelationships. With over 350 images, this book includes examples from the author’s own design studio and parametric design teaching in elective classes. Based on the Rhinoceros and Grasshopper platforms, this book is an accessible, yet in-depth, resource for architecture students and early professionals who are considering integrating parametric applications into their design processes.

Parametric Methods for Beginners

Author : Umut Toker
Publisher : Taylor & Francis
ISBN 13 : 1000816508
Total Pages : 222 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Parametric Methods for Beginners by : Umut Toker

Download or read book Parametric Methods for Beginners written by Umut Toker and published by Taylor & Francis. This book was released on 2022-12-30 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces architectural applications of parametric methods in design, drawing direct connections between each phase of the architectural design process with relevant parametric approaches. Readers will find applications of parametric methods with straightforward explanations of concepts, commands as well as applicable examples for each phase of the architectural design process. In addition to learning about the historical and conceptual background of parametric design, readers can use this book as a go-to source during their day-to-day design practice. Chapters are organized according to different phases of the architectural design process, such as site analysis, spatial organization, skin systems, and environmental performance analyses. Together, they deliver concepts, applications, and examples utilizing in-depth visual guides that explain commands, their outcomes, and their interrelationships. With over 350 images, this book includes examples from the author’s own design studio and parametric design teaching in elective classes. Based on the Rhinoceros and Grasshopper platforms, this book is an accessible, yet in-depth, resource for architecture students and early professionals who are considering integrating parametric applications into their design processes.

Parametric Design for Landscape Architects

Author : Andrew Madl
Publisher : Routledge
ISBN 13 : 0429514972
Total Pages : 220 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Parametric Design for Landscape Architects by : Andrew Madl

Download or read book Parametric Design for Landscape Architects written by Andrew Madl and published by Routledge. This book was released on 2021-09-06 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parametric Design for Landscape Architects provides a sequence of tutorial-based workflows for the creation and utilization of algorithmic tools calibrated toward the field of landscape architecture. Contemporary practice and projective theory in landscape architecture require the processing and design of data associated with complex systems to adequately represent composite, emergent scenarios. Aligning to both traditional and nascent processes of analysis and digital modeling, this book unpacks and decodes the characterization of algorithmic-based automation, leveraging software that is widely accessible in both academia and professional practice. Curated throughout are workflows that apply to a multiplex of computation programs that widely support the design, analysis, and production of landscapes, primarily concentrated on digital modeling tools Grasshopper and Rhinoceros. It is a much-needed, visually accessible resource to aid in more efficient understanding and creation of tools that automate and re-examine traditional calculations, analyses, drawing standards, form-finding strategies, fabrication preparations, and speculative assessments/simulation. This primer provides professionals and students with multifaceted skill-sets that, when applied in practice, expand and expedite conventional and speculative design workflows applicable to spatial design, and more specifically landscape architecture. The book includes over 200 full-colour drawings, images, and tables to illustrate and support examples throughout.

Parametric Design for Architecture

Author : Wassim Jabi
Publisher : Laurence King Publishing
ISBN 13 : 1780675364
Total Pages : 208 pages
Book Rating : 4.7/5 (86 download)

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Book Synopsis Parametric Design for Architecture by : Wassim Jabi

Download or read book Parametric Design for Architecture written by Wassim Jabi and published by Laurence King Publishing. This book was released on 2013-09-15 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architects use CAD to help them visualize their ideas. Parametric design is a fast-growing development of CAD that lets architects and designers specify the key parameters of their model and make changes interactively. Whenever changes are made the rest of the model updates automatically. Through a detailed description of various parametric, generative and algorithmic techniques, this book provides a practical guide to generating geometric and topological solutions for various situations, including explicit step-by-step tutorials. While the techniques and algorithms can be generalized to suit to any parametric environment, the book illustrates its concepts using the scripting languages of one of the most powerful 3D visualization and animation design software systems (Autodesk 3ds Max MAXScript), one of the most popular open-source Java-based scripting environments (Processing), and a brand new language specifically tailored for parametric and generative design (Autodesk DesignScript). This clear, accessible book will have a wide appeal to students and practitioners who would like to experiment with parametric techniques.

Elements of Parametric Design

Author : Robert Francis Woodbury
Publisher :
ISBN 13 : 9780415779876
Total Pages : 0 pages
Book Rating : 4.7/5 (798 download)

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Book Synopsis Elements of Parametric Design by : Robert Francis Woodbury

Download or read book Elements of Parametric Design written by Robert Francis Woodbury and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pushed by practices wanting to produce novelty, computer-aided design systems are increasingly parametric - they represent designs that change with their input data. Such systems give more control and capability to designers, but require much more comprehensive understanding to be used effectively. This book teaches what new knowledge and skills designers need in order to master the parametric and how they can learn and use them.

Parametric and Feature-Based CAD/CAM

Author : Jami J. Shah
Publisher : John Wiley & Sons
ISBN 13 : 9780471002147
Total Pages : 646 pages
Book Rating : 4.0/5 (21 download)

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Book Synopsis Parametric and Feature-Based CAD/CAM by : Jami J. Shah

Download or read book Parametric and Feature-Based CAD/CAM written by Jami J. Shah and published by John Wiley & Sons. This book was released on 1995-11-03 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is the complete introduction and applications guide to this new technology. This book introduces the reader to features and gives an overview of geometric modeling techniques, discusses the conceptual development of features as modeling entities, illustrates the use of features for a variety of engineering design applications, and develops a set of broad functional requirements and addresses high level design issues.

A Parametric Approach to Nonparametric Statistics

Author : Mayer Alvo
Publisher : Springer
ISBN 13 : 3319941534
Total Pages : 279 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis A Parametric Approach to Nonparametric Statistics by : Mayer Alvo

Download or read book A Parametric Approach to Nonparametric Statistics written by Mayer Alvo and published by Springer. This book was released on 2018-10-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.

All of Nonparametric Statistics

Author : Larry Wasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387306234
Total Pages : 272 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis All of Nonparametric Statistics by : Larry Wasserman

Download or read book All of Nonparametric Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2006-09-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.

Nonlinear Time Series

Author : Jianqing Fan
Publisher : Springer Science & Business Media
ISBN 13 : 0387693955
Total Pages : 565 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Nonlinear Time Series by : Jianqing Fan

Download or read book Nonlinear Time Series written by Jianqing Fan and published by Springer Science & Business Media. This book was released on 2008-09-11 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.

Responsive Landscapes

Author : Bradley E Cantrell
Publisher : Routledge
ISBN 13 : 1317634055
Total Pages : 357 pages
Book Rating : 4.3/5 (176 download)

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Book Synopsis Responsive Landscapes by : Bradley E Cantrell

Download or read book Responsive Landscapes written by Bradley E Cantrell and published by Routledge. This book was released on 2015-11-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sensing, processing, and visualizing that are currently in development within the environment boldly change the ways design and maintenance of landscapes are perceived and conceptualised. This is the first book to rationalize interactive architecture and responsive technologies through the lens of contemporary landscape architectural theory. Responsive Landscapes frames a comprehensive view of design projects using responsive technologies and their relationship to landscape and environmental space. Divided into six insightful sections, the book frames the projects through the terms; elucidate, compress, displace, connect, ambient, and modify to present and construct a pragmatic framework in which to approach the integration of responsive technologies into landscape architecture. Complete with international case studies, the book explores the various approaches taken to utilise responsive technologies in current professional practice. This will serve as a reference for professionals, and academics looking to push the boundaries of landscape projects and seek inspiration for their design proposals.

Non-Parametric Statistical Diagnosis

Author : E. Brodsky
Publisher : Springer Science & Business Media
ISBN 13 : 9401595305
Total Pages : 461 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Non-Parametric Statistical Diagnosis by : E. Brodsky

Download or read book Non-Parametric Statistical Diagnosis written by E. Brodsky and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Parametric Statistical Diagnosis

Understanding Social Science Research

Author : Thomas R Black
Publisher : SAGE
ISBN 13 : 9780761973690
Total Pages : 290 pages
Book Rating : 4.9/5 (736 download)

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Book Synopsis Understanding Social Science Research by : Thomas R Black

Download or read book Understanding Social Science Research written by Thomas R Black and published by SAGE. This book was released on 2002 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.

Spectral Analysis and Parametric Methods for Seasonal Adjustment of Economic Time Series

Author : Harry Myer Rosenblatt
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Spectral Analysis and Parametric Methods for Seasonal Adjustment of Economic Time Series by : Harry Myer Rosenblatt

Download or read book Spectral Analysis and Parametric Methods for Seasonal Adjustment of Economic Time Series written by Harry Myer Rosenblatt and published by . This book was released on 1965 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Non Parametric Methods through R Software

Author : Editor IJSMI
Publisher : International Journal of Statistics and Medical Informatics
ISBN 13 :
Total Pages : 78 pages
Book Rating : 4.3/5 (556 download)

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Book Synopsis Introduction to Non Parametric Methods through R Software by : Editor IJSMI

Download or read book Introduction to Non Parametric Methods through R Software written by Editor IJSMI and published by International Journal of Statistics and Medical Informatics. This book was released on 2022-09-30 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. The book mainly focuses on non-parametric aspects of Statistical methods. Non parametric methods or tests are used when the assumption about the distribution of the variables in the data set is not known or does not follow normal distribution assumption. Non parametric methods are useful to deal with ordered categorical data. When the sample size is large, statistical tests are robust due to the central limit theorem property. When sample size is small one need to use non-parametric tests. Compared to parametric tests, non-parametric tests are less powerful i.e. if we fail to reject the null hypothesis even if it is false. When the data set involves ranks or measured in ordinal scale then non-parametric tests are useful and easy to construct than parametric tests. The book uses open source R statistical software to carry out different non-parametric statistical methods with sample datasets.

Bayesian Non- and Semi-parametric Methods and Applications

Author : Peter Rossi
Publisher : Princeton University Press
ISBN 13 : 0691145326
Total Pages : 218 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Bayesian Non- and Semi-parametric Methods and Applications by : Peter Rossi

Download or read book Bayesian Non- and Semi-parametric Methods and Applications written by Peter Rossi and published by Princeton University Press. This book was released on 2014-04-27 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility. This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.

Introducing Survival and Event History Analysis

Author : Melinda Mills
Publisher : SAGE
ISBN 13 : 1848601026
Total Pages : 301 pages
Book Rating : 4.8/5 (486 download)

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Book Synopsis Introducing Survival and Event History Analysis by : Melinda Mills

Download or read book Introducing Survival and Event History Analysis written by Melinda Mills and published by SAGE. This book was released on 2011-01-19 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

Python Machine Learning For Beginners

Author : Finn Sanders
Publisher : Roland Bind
ISBN 13 :
Total Pages : 105 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Python Machine Learning For Beginners by : Finn Sanders

Download or read book Python Machine Learning For Beginners written by Finn Sanders and published by Roland Bind. This book was released on 2019-05-22 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!