Sampling the Fermi statistics and other conditional product measures

Through a Metropolis-like algorithm with single step computational cost of order one, we build a Markov chain that relaxes to the canonical Fermi statistics for k non-interacting particles among m energy levels. Uniformly over the temperature as well as the energy values and degeneracies of the energy levels we give an explicit upper bound with leading term km(ln k) for the mixing time of the dynamics. We obtain such construction and upper bound as a special case of a general result on (non-homogeneous) products of ultra log-concave measures (like binomial or Poisson laws) with a global constraint. As a consequence of this general result we also obtain a disorder-independent upper bound on the mixing time of a simple exclusion process on the complete graph with site disorder. This general result is based on an elementary coupling argument and extended to (non-homogeneous) products of log-concave measures.Comment: 21 page

EFFECT OF PRODUCT QUALITY, SERVICE QUALITY, PRODUCT ATTRACTIVENESS AND CORPORATE IMAGE ON DECISIONS SAVING ON BIMA SAVINGS (Study at Bank Jateng Main Branch of Semarang)

This study aims to analyze the effect of Product Quality, Service Quality, Product Attractiveness and Corporate Image on Savings Decision on Bima Savings. Selection of the model is adjusted to the problem of research, namely not achieving the target of Bima Savings provided by the Company (Bank Jateng). The research was conducted at Central Java Bank Branch Office at Pemuda Street Semarang, with sampling technique to produce representative sample is purposive sampling. Analytical techniques used to test the relationship between variables is the path analysis with the help of AMOS software. The result of analysis shows that there is a positive and significant correlation between product quality of Bima Savings to product attractiveness, positive and significant correlation between service quality to company image, positive and significant relationship between product attractiveness and company image to decision of saving

Multilevel Fixed and Sequential Acceptance Sampling: The R Package MFSAS

Multilevel acceptance sampling for attributes is used to decide whether a lot from an incoming shipment or outgoing production is accepted or rejected when the product has multiple levels of product quality or multiple types of (mutually exclusive) possible defects. This paper describes a package which provides the tools to create, evaluate, plot, and display the acceptance sampling plans for such lots for both fixed and sequential sampling. The functions for calculating cumulative probabilities for several common multivariate distributions (which are needed in the package) are provided as well.

Minimally Entangled Typical Thermal State Algorithms

We discuss a method based on sampling minimally entangled typical thermal states (METTS) that can simulate finite temperature quantum systems with a computational cost comparable to ground state DMRG. Detailed implementations of each step of the method are presented, along with efficient algorithms for working with matrix product states and matrix product operators. We furthermore explore how properties of METTS can reveal characteristic order and excitations of systems and discuss why METTS form an efficient basis for sampling. Finally, we explore the extent to which the average entanglement of a METTS ensemble is minimal.Comment: 18 pages, 14 figure

PENGARUH CITRA MEREK DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN SEPEDA MOTOR (Studi Pada Konsumen Honda Beat di Kecamatan Sukun, Kota Malang)

The Influence of Brand Image on Purchase Decision, the Influence of Product Quality on Purchase Decision, and the Dominant Influence between Brand Image and Product Quality on Purchase Decision. This research was conducted in the Sukun District of Malang City. The population used in this study was consumers of Honda Beat motorcycles, with a sample of 120 respondents. Respondent characteristics are consumers located in the Sukun District, Malang City, consumers who first purchased the Honda Beat, aged 25-60 years, and consumers who already have a job. This study used a non-probability sampling technique with purposive sampling. Data collection technique used an online questionnaire. This study used multiple linear regression analysis processed with SPSS 25 program. The results of this study found that brand image has a positive and significant influence on purchase decision. Product quality has a positive and significant influence on purchase decision. Product quality has a more dominant influence on purchase decision