نتایج جستجو برای: non linear multivariable regression analysis

تعداد نتایج: 4245067  

Journal: :international journal of advanced structural engineering 2009
mariella diaferio dora foti riccardo nobile

in this paper the optimal design of a dissipator made of aluminium and steel and principallysubjected to shear forces and the preliminary results of the characterization tests are described.the device has been designed on the basis of an optimization procedure with the objective tomaximize the energy dissipated in the device. the response of a 3d frame equipped with thedevice and subjected to 7...

Journal: :civil engineering infrastructures journal 0
gholamreza abdollahzadeh faculty of civil engineering, babol university of technology marzieh nemati babol university of technology mehrdad avazeh babol university of technology

nowadays, as a result of increased terrorist and bomb attacks throughout the globe in the vicinity of strategic buildings, designing these structures against impact loads, particularly the blast-related ones, has been taken into more consideration. the current procedure for designing the structure against an explosion is a design against the local failure of the current elements in the first st...

2017
Makoto Daimon Aya Kamba Hiroshi Murakami Satoru Mizushiri Sho Osonoi Masato Yamaichi Kota Matsuki Eri Sato Jutaro Tanabe Shinobu Takayasu Yuki Matsuhashi Miyuki Yanagimachi Ken Terui Kazunori Kageyama Itoyo Tokuda Ippei Takahashi Shigeyuki Nakaji

Prolactin (PRL) has roles in various physiological functions. Although experimental studies showed that PRL has both beneficial and adverse effects on type 2 diabetes mellitus, clinical findings in subjects with hyperprolactinemia indicate adverse effects on glucose metabolism. However, effects of PRL within the physiological range in human are controversial. A population-based study of 370 Jap...

2011
Eduardo A. Castro Pablo R. Duchowicz Francisco M. Fernández

We discuss some features of the orthogonalization methods commonly applied to QSPR QSAR studies. We outline the well known multivariable linear regression analysis in vector form in order to compare mainly Randic and Gram-Schmidt orthogonalization procedures and also cast the basis for other approaches like Löwdin’s one. We expect that present review may become the starting point for future dev...

Journal: :BJU international 2014
Jens Hansen Marco Bianchi Maxine Sun Michael Rink Fabio Castiglione Firas Abdollah Thomas Steuber Sascha A Ahyai Stefan Steurer Cosima Göbel Massimo Freschi Francesco Montorsi Shahrokh F Shariat Margit Fisch Markus Graefen Pierre I Karakiewicz Alberto Briganti Felix K-H Chun

OBJECTIVE To examine whether percentage of tumour volume (%TV) and percentage of high-grade tumour volume (%HGTV) help to better identify men at higher risk of early biochemical recurrence (BCR) after radical prostatectomy (RP) for non-metastatic high-risk prostate cancer, as early BCR after RP might be associated with higher risk of metastases and cancer-specific mortality. PATIENTS AND METH...

2007
Richard Zeckhauser Mark Thompson

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2007
Clyde D. Hardin Gennady Samorodnitsky Murad S. Taqqu

Let (X 1 ; X 2) be an-stable random vector, not necessarily symmetric, with 0 < < 2. The paper investigates the regression E(X 2 jX 1 = x) for all values of. We give conditions for the existence of the conditional moment E(jX 2 j p jX 1 = x) when p , and we obtain an explicit form of the regression E(X 2 jX 1 = x) as a function of x. Although this regression is, in general, not linear, it can b...

2011
Dimitry Gorinevsky

Consider a set of multivariable input/output process data. Given a new observation we ask the following questions: is the new observation normal or abnormal? is one of the inputs or outputs abnormal (faulty) and which? Assuming a linear regression model of the process, the problem is solved through Bayesian hypothesis testing. The proposed formulation differs from existing multivariable statist...

2009
R. A. de Callafon

A commonly used approach in the identification of linear models is the usage of complex frequency domain data for performing a curve fit procedure to obtain a transfer function of a linear model that approximates the frequency domain data using e.g. a least squares minimization (Pintelon et al. 1994). This approach is favourite especially in applications where huge amounts of noisy experimental...

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