Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan |
Autore | Brandt, Siegmund |
Edizione | [4. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2014 |
Descrizione fisica | xx, 523 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] |
Soggetto non controllato |
Analysis of variance
Computer-generated Random Numbers Data Analysis using Java Data analysis Error propagation Fundamentals of Data Analysis Graduate-Level Data Analysis Introduction to Statistical Methods Java Programs for Data Analysis Least Squares Linear regression Matrix Calculation Matrix algebra Monte Carlo Methods Polynomial regression Singular-Value Analysis Statistical Distributions Statistical Error Analysis Testing Statistical Hypotheses Time Series Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0132855 |
Brandt, Siegmund | ||
Cham, : Springer, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Design and Analysis of Experiments / Angela Dean, Daniel Voss, Danel Draguljić |
Autore | Dean, Angela |
Edizione | [2. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xxv, 840 p. : ill. ; 24 cm |
Altri autori (Persone) |
Draguljić, Danel
Voss, Daniel |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] |
Soggetto non controllato |
Analysis of Experiments
Analysis of covariance Blocking factors Design of experiments Factorial experiments Fitting models Inference for Contrasts Planning experiments Polynomial regression Random effects Variation |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123469 |
Dean, Angela | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Nonlinear Optimization / Francisco J. Aragón … [et al.]] |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xiv, 350 p. : ill. ; 24 cm |
Soggetto topico |
47N10 - Applications of operator theory in optimization, convex analysis, mathematical programming, economics [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 97Uxx - Educational material and media and educational technology in mathematics education [MSC 2020] |
Soggetto non controllato |
Coercivity
Constrained optimization Convexity Derivative-free optimization methods Fermat-Steiner problem Geometric optimization Gradient methods Jensen's inequalities Lagrange duality Line search methods Linear regression Nelder and Mead method Optimization algorithms Optimization problems Polynomial regression Quadratic optimization Quasi-Newton Methods Unconstrained Optimization Wolfe duality |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127075 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|