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Record Nr. |
UNINA990002654000403321 |
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Autore |
Spalding, W. |
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Titolo |
Foreign exchange andforeigne bills in theory and in pratice / by Spalding |
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Edizione |
[IV -] |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996466643703316 |
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Titolo |
Proceedings of the third Japan-USSR symposium on probability theory / / edited by G. Maruyama and J. V. Prokhorov |
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Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1976] |
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©1976 |
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ISBN |
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Edizione |
[1st ed. 1976.] |
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Descrizione fisica |
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1 online resource (VIII, 728 p.) |
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Collana |
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Lecture Notes in Mathematics, , 0075-8434 ; ; 550 |
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Disciplina |
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Soggetti |
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Mathematics |
Probabilities |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Some limit theorems for a queueing system with absolute priority in heavy traffic -- On certain problems of uniform distribution of real sequences -- Norms of Gaussian sample functions -- On a new approach to Markov processes -- Limit theorems for linear |
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combinations of order statistics -- Some estimates of the rate of convergence in multidimensional limit theorems for homogeneous Markov processes -- Expectation semigroup of a cascade process and a limit theorem -- Potential theory of symmetric markov processes and its applications -- Hilbert space methods in classical problems of mathematical statistics -- On the martingale aproach to statistical problems for stochastic processes with boundary conditions -- Probabilities of the first exit for continuous processes with independent increments on a markov chain -- Noncommutative analogues of the Cramér-Rao inequality in the quantum measurement theory -- Test of hypotheses for distributions with monotone likelihood ratio: case of vector valued parameter -- Criteria of absolute continuity of measures corresponding to multivariate point processes -- Normal numbers and ergodic theory -- On multitype branching processes with immigration -- Statistics of stochastic processes with jumps -- Evolution asymptotique des temps d'arrêt et des temps de séjour liés aux trajectoires de certaines fonctions aléatoires gaussiennes -- Asymptotic enlarging of semi-markov processes with an arbitrary state space -- The method of accompanying infinitely divisible distributions -- Optimal stopping of controlled diffusion process -- Additive arithmetic functions and Brownian motion -- Asymptotic behavior of the fisher information contained in additive statistics -- Nonlinear functionals of gaussian stationary processes and their applications -- Stationary matrices of probabilities for stochastic supermatrix -- An estimate of the remainder term in the multidimensional central limit theorem -- A remark on the non-linear Dirichlet problem of branching markov processes -- Some remarks on stochastic optimal controls -- On stationary linear processes with Markovian property -- Some limit theorems for the maximum of normalized sums of weakly dependent random variables -- Non-uniform estimate in the central limit theorem in a separable Hilbert space -- Generalized diffusion processes -- Semifields and probability theory -- Convergence to diffusion processes for a class of Markov chains related to population genetics -- Random operators in a Hilbert space -- Bernoulli shifts on groups and decreasing sequences of partitions -- On the second order asymptotic efficiencies of estimators -- On the relaxed solutions of a certain stochastic differential equation -- On limit theorems for non-critical Galton-Watson processes with EZ1logZ1=? -- Construction of diffusion processes by means of poisson Point process of Brownian excursions -- Non-anticipating solutions of stochastic equations -- A stochastic maximum principle in control problems with discrete time -- Selection of variables in multiple regression analysis. |
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3. |
Record Nr. |
UNINA9911008446203321 |
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Autore |
Crenshaw Larry D |
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Titolo |
Chemometrics |
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New York : , : Nova Science Publishers, Incorporated, , 2022 |
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©2022 |
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ISBN |
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9798886973112 |
9798886972740 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (296 pages) |
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Collana |
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Analytical Chemistry and Microchemistry |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Contents -- Preface -- Chapter 1 -- Commonly Used Chemometrics for Spectral Modeling Transfer -- Abstract -- Challenges and Solutions of Spectral Analysis -- Classic Algorithms -- Spectral Substration Correction -- Shenk's Algorithm -- Direct Standardization -- Piecewise Direct Standardization -- Procrustes Analysis -- Target Transformation Factor Analysis -- Maximum Likelihood Principal Component Analysis -- Slope/Bias Correction -- Improvement of Classic Algorithms -- New Developments in Algorithms -- Canonical Correlation Analysis -- Spectral Space Transformation -- Alternating Trilinear Decomposition -- Multi-Task Learning -- Generalized Least Squares -- Other Algorithms -- Global Calibration, Robust Calibration and Model Update -- Progress of Applications -- SBC Method -- SSC Method -- Shenk's Method -- DS Method -- PDS Method -- CCA Method -- Establishment of Global Model -- Other Applications -- References -- Biographical Sketch -- Chapter 2 -- 1H-NMR Fingerprinting and Pattern Recognition Stepwise Strategy for Quality and Authenticity Control of Olive Oil -- Abstract -- Introduction -- 1H-NMR Spectra of Vegetable Oils -- Adulteration of Olive Oil with Vegetable Oils -- PLS-DA Models to Confirm the Presence of Virgin Olive Oil or Olive Oil in Blends with Vegetable Oils -- PLS-DA Models to Discriminate Blends of Virgin Olive Oil with Vegetable Oils -- PLS-DA Models to Discriminate Blends of Olive Oil with Vegetable Oils |
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-- PLS-R Models to Determine the Percentage of Vegetable Oil in the Blend with Virgin Olive Oil or Olive Oil -- PLS-DA Models to Discriminate Between 'Legal' and 'Illegal' Blends of Virgin Olive Oil or Olive Oil with Vegetable Oils -- PLS-DA Models to Discriminate between Blends of Virgin Olive Oil or Olive Oil with Different Compositions of Vegetable Oils. |
Prediction of Blends of Olive Oil with other Vegetable Oils -- Conclusion -- Acknowledgments -- References -- Chapter 3 -- A Metabolomics Approach Based on 1H-NMR Fingerprinting and Multivariate Data Analysis for Virgin Olive Oil Stability Assessment -- Abstract -- Introduction -- Chemical Composition and Quality of Virgin Olive Oil -- Stability of Virgin Olive Oil -- Quality Assessment of Virgin Olive Oil -- 1H-NMR Spectrum of Fresh Virgin Olive Oil -- Stability of VOO Stored at Room Temperature in the Dark -- Stability of VOO Exposed to Light at 25ºC for 12 Months or Stored in the Dark at 25ºC, 30ºC and 35ºC for 24 Months -- Freshness of Virgin Olive Oil -- Light Exposure of Virgin Olive Oil -- Storage Time of Virgin Olive Oil -- Estimation of the Best Before Date -- Conclusion -- Acknowledgments -- References -- Chapter 4 -- A Chemometric Study of Chemical Research of Element Accumulation in Mushrooms -- Abstract -- Introduction -- Cluster Analysis -- Principal Component Analysis -- Results and Discussion -- Element Accumulation in Mushrooms via Chemometrics -- HCA Analysis -- PCA Analysis -- Conclusion -- Acknowledgements -- References -- Biographical Sketches -- Bibliography -- Index -- Blank Page -- Blank Page. |
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Sommario/riassunto |
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"Chemometrics is a discipline of chemistry that finds correlation between specific data using mathematical and statistical methods. During any thorough research, the scientists are handling vast amounts of data related to the samples which are being researched. In this type of research, finding the correlation (similarities or differences) between analyzed samples and data is of great importance. In the first chapter, commonly used chemometrics for spectral modeling transfer is examined. The second chapter provides an analytical tool to detect fraud when olive oil is illegally blended with VOs or a 'legal' blend is falsely labelled with respect to the botanical nature of the oils mixed and/or the percentage of each oil in the declared mixture. H-NMR spectral data of olive and virgin olive oils and their mixtures with the VOs most commonly used to make blends was analysed by pattern recognition techniques to develop multivariate classification and regression models, which were organised in a decision tree to afford a stepwise strategy for the aimed purposes. The next chapter focuses on a metabolomics approach based on H-NMR fingerprinting and multivariate data analysis for virgin olive oil stability assessments. In the fourth chapter, the authors review unsupervised methods using both principal component analysis (PCA) and hierarchical cluster analysis (HCA). Using these methods, they were able to spot the correlation between the samples and underlying data structures without the potential bias of scientists about the previous knowledge of data samples"-- |
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