Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Toeplitz matrices. --- Toeplitz operators.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Group theory, originating from algebraic structures in mathematics, has long been a powerful tool in many areas of physics, chemistry and other applied sciences, but it has seldom been covered in a manner accessible to undergraduates. This book from renowned educator Robert Kolenkow introduces group theory and its applications starting with simple ideas of symmetry, through quantum numbers, and working up to particle physics. It features clear explanations, accompanying problems and exercises, and numerous worked examples from experimental research in the physical sciences. Beginning with key concepts and necessary theorems, topics are introduced systematically including: molecular vibrations and lattice symmetries; matrix mechanics; wave mechanics; rotation and quantum angular momentum; atomic structure; and finally particle physics. This comprehensive primer on group theory is ideal for advanced undergraduate topics courses, reading groups, or self-study, and it will help prepare graduate students for higher-level courses.

Group theory. --- Matrices. --- Science --- Mathematics.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here. The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques. The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models"--

Econometrics --- R (Computer program language) --- Économétrie --- Matrices R. --- Computer programs. --- Logiciels.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Tumor Microenvironment. --- Extracellular Matrix. --- Neoplasms. --- Benign Neoplasms --- Malignancy --- Malignant Neoplasms --- Neoplasia --- Neoplasm --- Neoplasms, Benign --- Cancer --- Tumors --- Benign Neoplasm --- Cancers --- Malignancies --- Malignant Neoplasm --- Neoplasias --- Neoplasm, Benign --- Neoplasm, Malignant --- Neoplasms, Malignant --- Tumor --- Medical Oncology --- Matrix, Extracellular --- Extracellular Matrices --- Matrices, Extracellular --- Cancer Microenvironment --- Cancer Microenvironments --- Microenvironment, Cancer --- Microenvironment, Tumor --- Microenvironments, Cancer --- Microenvironments, Tumor --- Tumor Microenvironments --- Extracellular matrix. --- Physiology, Pathological. --- Research. --- Cancer research --- Neoplasms --- Tumours --- Pathology --- Cysts (Pathology) --- Oncology --- Cement substance (Anatomy) --- Ground substance (Anatomy) --- Ground substance (Histology) --- Intercellular matrix --- Interstitial substance --- Connective tissues --- Extracellular space

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Anàlisi multivariable --- Anàlisi multivariant --- Estadística matemàtica --- Matrius (Matemàtica) --- Anàlisi de conglomerats --- Anàlisi de correspondències (Estadística) --- Anàlisi discriminant --- Modelització multiescala --- Models d'equacions estructurals --- Anàlisi conjunt (Màrqueting) --- Multivariate analysis. --- Dependence (Statistics) --- Dependence of random variables --- Random variables, Dependence of --- Stochastic dependence --- Mathematical statistics --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices