scholarly journals Regular Chains under Linear Changes of Coordinates and Applications

Author(s):  
Parisa Alvandi ◽  
Changbo Chen ◽  
Amir Hashemi ◽  
Marc Moreno Maza
Keyword(s):  
2015 ◽  
Vol 7 (11) ◽  
pp. 94
Author(s):  
Chun-Chang Lee ◽  
Cheng-Huang Tung ◽  
Yu-Heng Lee ◽  
Shu-Man You

<p>This study explores the factors that affect the incomes of real estate salespersons by applying hierarchical linear modeling (HLM) to investigate the incomes of real estate salespersons in Kaohsiung. A total of 510 questionnaires were distributed to large chain housing agencies, of which a total of 319 effective samples were retrieved from 54 branch stores, for an effective return rate of 62.55%. The empirical results showed that individual incomes vary significantly from store to store. About 4.8% of the variation in individual incomes was due to differences among different branch stores. The individual income of a real estate salesperson is also significantly affected by individual-level factors such as age, working hours, and working experience. The marginal impact of education level, age, working hours, and working experience on real estate salesperson income is moderated by the type of store at which the given salesperson works. In addition, a branch store’s location has a direct, significant, and positive impact on a real estate salesperson’s income.</p>


Author(s):  
François Boulier ◽  
François Lemaire ◽  
Marc Moreno Maza ◽  
Adrien Poteaux

1973 ◽  
Vol 10 (01) ◽  
pp. 84-99 ◽  
Author(s):  
Richard L. Tweedie

The problem considered is that of estimating the limit probability distribution (equilibrium distribution) πof a denumerable continuous time Markov process using only the matrix Q of derivatives of transition functions at the origin. We utilise relationships between the limit vector πand invariant measures for the jump-chain of the process (whose transition matrix we write P∗), and apply truncation theorems from Tweedie (1971) to P∗. When Q is regular, we derive algorithms for estimating πfrom truncations of Q; these extend results in Tweedie (1971), Section 4, from q-bounded processes to arbitrary regular processes. Finally, we show that this method can be extended even to non-regular chains of a certain type.


The dynamical systems discussed here are long chains of particles with randomly distributed masses; both nearest- and next-nearest-neighbour harmonic forces are taken into account. It is shown that in order to find the spectrum of frequencies of vibration the distribution of eigenvalues of a large matrix of special type must be determined, and an accurate and rapid method of computing this distribution is described. By this means the vibrational spectra for several degrees of next-nearest-neighbour interactions are found; they are shown to lend support to a theory relating their main features to similar features in the spectra of almost regular chains possessing defect modes.


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