Dear ALL
you find attched a video link about railway construction
enjoy
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Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. This book is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. This book serves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester intro! duction to statistical methods and a thoeretical linear models course. This book emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts.
Excellent Applied Regression Text
This text covers all aspects of applied regression. In addition, it covers required background, theory, and several examples. It is written clearly and develops logically. I used this text for a course, and I highly recommend this text.
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Posted by: wahyoe - 10-04-2010, 11:10 AM - Forum: Archive
- No Replies
hi
Can you help me, if you anyone has examples of "preliminary design" and the assignment? for space truss structure, for example:
a. electrical tower
b. antenna tower
c. space frame roof structure
d. and others associated with space truss structure
I want to know how the steps to calculate the structure or any reference to plans of space truss structure (examples of calculation), these calculations would I use to make the program analysis using matlab ..
thank you for your attention
greeting
Wahyoe
I have a very annoying problem with mathcad, if I start to write an expression after the equation sign the box becomes infinitely long...(see the attached pictures) This issue started today, before this mathcad worked well. I had mathcad 14, reinstalled twice (with registry clean) and installed the mathcad 15 as well, both have the same problem. My old calculation files have the same problem now.. One of my friends checked one of these files and it worked fine for him, without any visualization problem. So it doesn't relate to the mathcad files.
The right-hand side of the equations are in infinite distance so I can't use my mathcad...
I will highly appreciate if someone could provide me some useful tips about this problem.
I have made a model of a retaining wall using formwork module. I need to make a presentation and need to import this model in Revit. I cant find any option from either Revit's or SD's end to import/export the model.
PLease Help
Hello!
Does anybody know how to remove the information of the company from Sofistik v23's Ursula? Ursula is Sofistik's report generator, and in its version v23, downloaded from the links found in this forum, it displays information about some Athens company.
I tried changing the page configuration, but I could not make it work.
Thank you!
Regression Analysis: Concepts and Applications Franklin A. Graybrill, Hariharan K. Iyer
Regression Analysis: Concepts and Applications
Franklin A. Graybrill, Hariharan K. Iyer
Publisher: Duxbury Pr
ISBN: 0534198694
edition 1994
PDF 650 pages 24 mb
Regression Analysis: Concepts and Applications focuses on thinking clearly about and solving practical statistical problems. The approach leads from the theoretical (meaning conceptual not mathematical) to the applied, the idea being that samples (using theory) tell the investigator what needs to be known about populations (for application).
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Applied Regression Analysis Norman R. Draper, Harry Smith
Applied Regression Analysis
Norman R. Draper, Harry Smith
Wiley-Interscience 1998-04-23
ISBN: 0471170828
736 pages Djvu 17,8 MB
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.
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