LEUKOCYTAL INDICES AND OCCUPATIONAL EXTERNAL GAMMA-EXPOSURE

Abstract. Background: The hematopoietic system is classified as the most radiosensitive body system. Research of occupational radiation-induced hematological shifts continues to be a relevant question of occupational radiation safety. Aim: Analysis of leukocytal indices dynamics depending on the accumulated dose of occupational external gamma-exposure. Methods: The database «Leukemia in the cohort of Mayak Production Association workers hired in 1948-1958» was used as the material. Leukocytal indices were estimated based on 19592 peripheral blood analyses; dynamics of hematological shifts was traced according to accumulation of absorbed doses of occupational external gamma-radiation; comparative analysis of hemogramms with a group of workers without oncohematological pathology was carried out. Nonparametric statistical methods were applied. Results: The period of dose accumulation at the same total dose of occupational external gamma-exposure was much different in the study groups, it was much shorter for individuals who later died of leukemia. Leukocytal indices in groups were most different in the range of accumulated absorbed doses of external gamma exposure equal to 2 – 2.5 Gy and had the largest amplitude of values among the workers diagnosed for leukemia later. Conclusion: The estimation of leukocytal indices may be used as the tool for early detection of adverse hematological shifts in cell lines and may be the indicator of pathologic hemapoiesis in the exposed workers before clinical manifestation of hematological pathology.

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Nonparametric Statistical Methods

Stochastic Modeling and Mathematical Statistics ◽

10.1201/b16414-15 ◽

2014 ◽

pp. 529-568

Keyword(s):

Statistical Methods ◽

Nonparametric Statistical Methods ◽

Nonparametric Statistical

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Methodological Choices In Detecting Divergent Earnings

Journal of Applied Business Research (JABR) ◽

10.19030/jabr.v16i3.2047 ◽

2011 ◽

Vol 16 (3) ◽

Author(s):

David T. Doran

Keyword(s):

Market Price ◽

Test Statistics ◽

Font Size ◽

Methodological Choices ◽

Random Samples ◽

Nonparametric Statistical Methods ◽

Expected Earnings ◽

The Difference ◽

Reported Earnings ◽

Nonparametric Statistical

This paper empirically tests for methodological superiority in detecting divergent earnings (the difference between actual and expected earnings).  Divergent earnings are generated using Value Line forecasted and reported earnings data.  Two hundred random samples of 100 cases each are drawn.    One hundred independent two sample tests are performed with 0%, 1%, 3%, 5%, 7%, and 10 % positive earnings introduced.  The two sample tests are performed using both parametric (t test), and nonparametric (Mann Whitney test) statistics.  They are performed on the “divergent earnings” data deflated by: 1) forecasted earnings , and 2) the market price of the stock.  The results indicate that the superior alternative is nonparametric statistical methods based upon ranks, and the deflator choice under these nonparametric methods is of little consequence.

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Modeling of Respiratory System Dysfunction among Nuclear Workers: A Preliminary Study

Dose-Response ◽

10.2203/dose-response.06-117.belyaeva ◽

2008 ◽

Vol 6 (4) ◽

pp. dose-response.0 ◽

Cited By ~ 3

Author(s):

Z.D. Belyaeva ◽

S.V. Osovets ◽

B.R. Scott ◽

G.V. Zhuntova ◽

E.S. Grigoryeva

Keyword(s):

Cigarette Smoking ◽

Respiratory System ◽

Respiratory Function ◽

Radiation Doses ◽

Alpha Radiation ◽

Nuclear Workers ◽

Chronic Radiation ◽

Mayak Production Association ◽

Radiation Induced ◽

Total Body

Numerous studies have reported on cancers among Mayak Production Association (PA) nuclear workers. Other studies have reported on serious deterministic effects of large radiation doses for the same population. This study relates to deterministic effects (respiratory system dysfunction) in Mayak workers after relatively small chronic radiation doses (alpha plus gamma). Because cigarette smoke is a confounding factor, we also account for smoking effects. Here we present a new empirical mathematical model that was introduced for simultaneous assessment of radiation and cigarette-smoking-related damage to the respiratory system. The model incorporates absolute thresholds for smoking- and radiation-induced respiratory system dysfunction. As the alpha radiation dose to the lung increased from 0 to 4.36 Gy, respiratory function indices studied decreased, although remaining in the normal range. The data were consistent with the view that alpha radiation doses to the lung above a relatively small threshold (0.15 to 0.39 Gy) cause some respiratory system dysfunction. Respiratory function indices were not found to be influenced by total-body gamma radiation doses in the range 0–3.8 Gy when delivered at low rates over years. However, significant decreases in airway conductance were found to be associated with cigarette smoking. Whether the indicated cigarette smoking and alpha radiation associated dysfunction is debilitating is unclear.

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Nonparametric statistical methods and the pricing of derivative securities

Journal of Applied Mathematics and Decision Sciences ◽

10.1155/s1173912602000019 ◽

2002 ◽

Vol 6 (1) ◽

pp. 1-22

Author(s):

Rüdiger Kiesel

Keyword(s):

Nonparametric Methods ◽

Derivative Securities ◽

Short Introduction ◽

Financial Options ◽

Consistent Model ◽

Nonparametric Statistical Methods ◽

Risk Neutral Probabilities ◽

Pricing Theory ◽

Option Pricing Theory ◽

Nonparametric Statistical

In this review paper we summarise several nonparametric methods recently applied to the pricing of financial options. After a short introduction to martingale-based option pricing theory, we focus on two possible fields of application for nonparametric methods: the estimation of risk-neutral probabilities and the estimation of the dynamics of the underlying instruments in order to construct an internally consistent model.

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Comparing Parametric and Nonparametric Statistical Methods for Studying the Velocity Distributions of Population I Stars

Symposium - International Astronomical Union ◽

10.1017/s0074180900173322 ◽

1993 ◽

Vol 156 ◽

pp. 265-269

Author(s):

F. Arenou ◽

M. L. Bougeard

Keyword(s):

Maximum Likelihood ◽

Statistical Methods ◽

Clustering Techniques ◽

Nonparametric Statistical Methods ◽

Nonparametric Statistical

This Paper investigates population I star samples from the viewpoint of the velocity distributions, each being viewed as a mixture. To obtain information on the class centers, clustering techniques are first applied. Secondly, we use a parametric maximum likelihood formulation that we solve by Redner-Walker's E.M. algorithm. The obtained results are compared and discussed from an astrophysical viewpoint.

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