Computational Statistics Handbook with MATLAB

Martinez, Wendy L.; Rodriguez, A.

doi:10.1201/9781420035636

Cited by 310 publications

(211 citation statements)

References 1 publication

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“…To ensure a highly con servative estimation of the significance of the association between time series, we used 10,000 Monte Carlo iterations to bootstrap the calculation of r s . Then, we used the resulting distributions of r s to estimate the 90% and 95% confidence intervals to test whether the correlations between oceanographic variables and recruitment rates were significantly different from zero using a two-tailed hypothesis (Manly, 1997;Martinez and Martinez, 2002). All anal yses were carried out using Matlab 7 R14.0.2 (The Mathworks, Inc., Natick, MA).…”

Section: Statistical Analysesmentioning

confidence: 99%

Recruitment of coastal fishes and oceanographic variability in central California

Wilson

Broitman

Caselle

et al. 2008

Estuarine, Coastal and Shelf Science

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Recruitment of pelagic larval fishes to the nearshore environment is dependent on a suite of biological and physical processes operating at many spatial and temporal scales. Nearshore circulation processes associated with coastal upwelling are widely upheld as major determinants of year class strength for many rockfishes (Sebastes spp.), but the mechanism by which these processes drive recruitment is largely unknown. We used Standard Monitoring Units for the Recruitment of Fishes (SMURFs) to monitor recruitment of two rockfish complexes (Sebastes spp.) and cabezon (Scorpaenichthys marmoratus) from March to September of 2004 and 2005 at 3 sites along the central California coast. We examined the relationship between recruitment of these fishes and measurements of oceanographic variability associated with upwelling dynamics, including in situ water temperature, AVHRR sea surface tempera ture, the Bakun upwelling index, and an index of alongshore surface water transport. We found that rockfish comprising the KCGB complex (Sebastes atrovirens, Sebastes caurinus, Sebastes carnatus, Sebastes chrysomelas) recruit during early summer, while fishes of the BYO complex (Sebastes melanops, Sebastes flavidus, Sebastes serranoides), as well as cabezon recruit during late summer. Our results provide limited support for an association between the arrival of juvenile pelagic rockfish and cabezon to the nearshore environment and physical processes related to upwelling and relaxation. Beyond the limitations of our bimonthly sampling scheme, the lack of a clear pattern may be related to the near absence of upwellingrelaxation cycles along this stretch of coast during these two study periods. Moreover, the settlement and recruitment of nearshore fishes may be closely tied to processes occurring earlier in the larval stage.

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Section: Statistical Analysesmentioning

confidence: 99%

Recruitment of coastal fishes and oceanographic variability in central California

Wilson

Broitman

Caselle

et al. 2008

Estuarine, Coastal and Shelf Science

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“…One can checkthat all the results are indeed robust with respect to the choice of the threshold and of the value of α. For each orbit, we fit the statistics of the 10 4 exceedances values of the observables to a GPD distribution, using a MLE [297] implemented in the MATLAB© function gpdfit [298].…”

mentioning

confidence: 99%

Extremes and Recurrence in Dynamical Systems

Lucarini¹,

Faranda²,

Freitas³

et al. 2016

190

253

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ii 4.1.2 The New Conditions 44 4.1.3 The Existence of EVL for General Stationary Stochastic Processes under Weaker Hypotheses 46 4.1.4 Proofs of Theorem 4.1.4 and Corollary 4.1.5 48 4.2 Extreme Values for Dynamically Defined Stochastic Processes 53 4.2.1 Observables and Corresponding Extreme Value Laws 55 4.2.2 Extreme Value Laws for Uniformly Expanding Systems 59 4.2.3 Example 4.2.1 revisited 61 4.2.4 Proof of the Dichotomy for Uniformly Expanding Maps 63 4.3 Point Processes of Rare Events 64 4.3.1 Absence of Clustering 64 4.3.2 Presence of Clustering 65 4.3.3 Dichotomy for Uniformly Expanding Systems for Point Processes 67 4.4 Conditions Д q (u n ), D 3 (u n ), D p (u n ) * and Decay of Correlations 68 4.5 Specific Dynamical Systems where the Dichotomy Applies 71 4.5.1 Rychlik Systems 72 4.5.2 Piecewise Expanding Maps in Higher Dimensions 73 4.6 Extreme Value Laws for Physical Observables 74

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“…(1 -a/2) (Martinez & Martinez, 2008). Para verificar se estes índices/sensores foram melhores para se estimar as variáveis biofísicas, eles foram utilizados como referência para, por meio de "bootstrap", compará-los com os demais índices de vegetação/ sensores.…”

Section: Methodsunclassified

Índices de vegetação simulados de diferentes sensores na estimativa das variáveis biofísicas do feijoeiro

Monteiro

Filho

Xavier

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar os índices de vegetação e bandas do vermelho e do infravermelho próximo, gerados a partir dos sensores HRVIR, ETM+ e Modis, nas estimativas de índice de área foliar e produtividade da cultura do feijoeiro. O experimento foi realizado em blocos ao acaso, com parcelas subdivididas, com quatro lâminas de irrigação (179,5, 256,5, 357,5 e 406,2 mm), três doses de N (0,0, 80,0 e 160,0 kg ha -1 ) e quatro repetições. As medidas de reflectância foram obtidas com o Spetron SE-590, no estádio R6 da cultura, nas 48 parcelas. Foram testados: a razão simples, o índice de vegetação por diferença normalizada, índice de vegetação ajustado ao solo e índice de vegetação realçado. Os índices de vegetação foram eficientes na estimativa do índice de área foliar (IAF) e da produtividade da cultura do feijoeiro. Os índices de vegetação e a banda do infravermelho apresentam o mesmo potencial na estimativa do IAF, quando se considera a resolução espectral dos sensores Modis, ETM+ e HRVIR.Termos de indexação: Phaseolus vulgaris, agricultura, reflectância espectral, sensoriamento remoto. Vegetation indices simulated from different sensors for the estimation of biophysical variables of common beanAbstract -The objective of this work was to evaluate the vegetation indices and red and infrared bands of the HRVIR, ETM+ and Modis sensors, in the estimations of leaf area index and grain yield of common bean. The experiment was carried out in a randomized block design, with split plots and four irrigation levels (179.5, 256.5, 357.5, and 406.2 mm), three N rates (0.0, 80.0 and 160.0 kg ha -1 ), and four replicates. The reflectance measurements were obtained through the Spectron SE-590, at R6 stage, on 48 plots. Simple ratio, normalized difference vegetation index, soil-adjusted vegetation index, and enhanced vegetation index were tested. The vegetation indices were efficient to estimate the leaf area index (LAI) and grain yield. The vegetation indices and infrared band show the same potential to estimate LAI, when considering the spectral resolution of Modis, ETM+ and HRVIR.

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Computational Statistics Handbook with MATLAB

Cited by 310 publications

References 1 publication

Recruitment of coastal fishes and oceanographic variability in central California

Recruitment of coastal fishes and oceanographic variability in central California

Extremes and Recurrence in Dynamical Systems

Índices de vegetação simulados de diferentes sensores na estimativa das variáveis biofísicas do feijoeiro

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