نتایج جستجو برای: gross margin analysis

تعداد نتایج: 2879164  

1999
Vishal Gaur Marshall Fisher Ananth Raman

We analyze the performance of retail firms for the period 1978-97 using public financial data. Our performance measures are long-term stock returns and whether the firm filed for bankruptcy in the period of study. We assume that over a long time period of at least five years, stock returns are a reasonable measure of the overall success of a firm. We have found a very wide disparity in performa...

2001
Kiyotaka Imai Toru Kaga

This paper describes a novel filtering method (FIMER) to extract three critical yield loss components: gross yield loss from parametric problems or from clustering of defects, repeated yield loss from mask defects or from lithography margin, and random yield loss mainly from particles. It is shown by simulation that FIMER is not only superior to the conventional windowing method in extracting r...

Journal: :Physical review letters 2010
S P Cockburn H E Nistazakis T P Horikis P G Kevrekidis N P Proukakis D J Frantzeskakis

The dynamics of dark matter-wave solitons in elongated atomic condensates are discussed at finite temperatures. Simulations with the stochastic Gross-Pitaevskii equation reveal a noticeable, experimentally observable spread in individual soliton trajectories, attributed to inherent fluctuations in both phase and density of the underlying medium. Averaging over a number of such trajectories (as ...

2006
Euan Fleming Terence Farrell Renato Villano Pauline Fleming

In this paper, we assess the potential for rehabilitation of comparative analysis under its new guise of benchmarking. After a brief description of comparative analysis, we discuss the deficiencies that surrounded its fall in reputation: neglect of economic principles, limited scope for action, failure to establish causal relations between farming practices and performance, lack of a holistic a...

2015
James L. Bedford Martin F. Fast Simeon Nill Fiona M.A. McDonald Merina Ahmed Vibeke N. Hansen Uwe Oelfke

BACKGROUND AND PURPOSE The latency of a multileaf collimator (MLC) tracking system used to overcome respiratory motion causes misalignment of the treatment beam with respect to the gross tumour volume, which may result in reduced target coverage. This study investigates the magnitude of this effect. MATERIAL AND METHODS Simulated superior-inferior breathing motion was used to construct histog...

Journal: :Ekspektra : jurnal bisnis dan manajemen 2021

This study aims to analyze differences in the company's financial performance before & after merger of PT Holcim Indonesia Tbk. The is measured using ratios: liquidity ratios (current ratio cash ratio), solvency (debt debt equity activity (total assets turn over fixed over), profitability (nett profit margin gross margin), market (earnings per share price earnings ratio). quantitative metho...

Journal: :Bangladesh agronomy journal 2022

The experiment was conducted at Dobila, Tarash of Shirajgonj in chalanbeel during the Rabi seasons 2018-2019 and 2019-2020 to improve existing cropping pattern, increase intensity, yields economic return through incorporating modern crop varieties improved management practices. treatments were i) Mustard (var. BARISarisha-14)-Boro-Fallow ii) BARI Sarisha-15)- Boro-Fallow iii) Tori-7)-Boro-Fallo...

Journal: :European Journal of Business and Management Research 2020

2006
Lorenzo Torresani Kuang-chih Lee

Metric learning has been shown to significantly improve the accuracy of k-nearest neighbor (kNN) classification. In problems involving thousands of features, distance learning algorithms cannot be used due to overfitting and high computational complexity. In such cases, previous work has relied on a two-step solution: first apply dimensionality reduction methods to the data, and then learn a me...

2004
András Kocsor Kornél Kovács Csaba Szepesvári

We propose a new feature extraction method called Margin Maximizing Discriminant Analysis (MMDA) which seeks to extract features suitable for classification tasks. MMDA is based on the principle that an ideal feature should convey the maximum information about the class labels and it should depend only on the geometry of the optimal decision boundary and not on those parts of the distribution o...

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