大牛地气田气井无阻流量的确定方法研究

大牛地气田气井试井大多采用一点法，由于气层渗透性差，测试时间短，流压很难达到稳定，计算的无阻流量往往偏高，且无法获得正确的产能方程。通过气田多口井修正等时试井数据进行统计分析，获得了一点法试井在不同生产时间下计算无阻流量的经验公式；利用气田修正等时试井的二项式方程系数曰，计算惯性阻力系数并经过曲线回归处理获得了经验关系式，很好地解决了一点法试井计算产能方程的问题。     

Biases of Success Rate Differences Shown in Binomial Effect Size Displays.

The intent of a binomial effect size display (BESD) is to show "the [real-world] importance of [an] effect indexed by a correlation [r]" (R. Rosenthal, 1994, p. 242) by reexpressing this correlation as a success rate difference (SRD) (e.g., treatment group success rate - control group success rate). However, SRDs displayed in BESDs generally overestimate real-world SRDs implied by correlations of (a) dichotomous X and Y variables (φ coefficients), (b) dichotomous X and continuous Y variables (point-biserial coefficients [rphs]). and (c) continuous X and Y variables (rxys). Furthermore, overestimation biases are larger for rxys than for rphs. Differences in the sizes of biases linked to different correlations suggest that BESD SRDs reported for different correlations are not comparable. The stochastic difference index (N. Cliff, 1993: A. Vargha & H. D. Delaney, 2000) is recommended as an alternative to the BESD. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

榆林气田气井废弃条件的确定

榆林气田是典型的低渗透气田，要准确计算其采收率和可采储量，必需确定气井的废弃条件。传统方法对气井的废弃地层压力进行计算时，由于忽视了开发过程中产能方程的变化，造成计算结果存在一定的误差。根据气井废弃地层压力的相关理论和计算方法，考虑了对气井产能方程影响较大的参数的变化，结合榆林气田气井矿场实际，推导出了适合榆林气田计算气井任意时刻二项式方程系数的公式，进而得到气井废弃时的稳定二项式方程。根据垂直管流法计算得到废弃井底流压，从而得到可靠的气井废弃地层压力，再结合经济评价即可确定气井的废弃产量。实例计算表明，新方法实用、有效，更切合气田实际。     

Water quality surveys: A statistical method based on determinism, quantiles and the binomial distribution

A statistical method for surveying water quality and analysing the results in terms of quantiles is described. The value of a water quality variable in a grab-sample is taken as a deterministic function of the temporal and spatial coordinates of the sampling point. Quantiles can then be defined for any specified region in time and space as unique, fixed values, and randomly located grab-samples may be used to estimate them for the purposes of describing or regulating water quality. Robust statistical inferences are possible using the binomial distribution. Properties of the quantiles, confidence limits, comparisons with fixed values or between regions, assessment of trends, simultaneous inferences and estimation of sample sizes are discussed. Two examples of water quality surveys, one of Port Phillip Bay, the other of the Maribyrnong River, Victoria, are used to illustrate the theory, paying particular attention to practical problems which arose. The proposed method is compared with others based on stochastic models, and is claimed to be simpler and more reliable.     

整数值时间序列的拟似然推断

基于推广的负二项稀疏算子利用预设新息过程分布法构造一个一元 INAR(1) 模型,给出了模型的概率性质并利用拟似然估计方法对模型进行了参数估计,同时也考虑了最小二乘法、极大似然估计方法。通过数值模拟评估了这些估计方法的有效性,并应用实际数据给出模型的应用,通过比较得出基于推广的负二项稀疏算子带有几何新息过程的INAR(1)是更适合数据的模型。     

二项式函数f(x)=(1+x)~α(α≠0)的幂级数展开式及其应用

详细介绍了二项式函数f(x)=(1+x)~a(a≠0)的幂级数展开式、收敛域的确定及其二项式级数在数学中的应用。     

基于二项分布的无线传感器网络信任管理系统

由于无线传感器网络不同于传统网络的特点,导致其很容易受到来自妥协节点的内部攻击。信任管理系统是防御无线传感器网络内部攻击的最有效方法。针对无线传感器网络节点信誉和信任的评估,我们改进了用于无线传感器网络的基于贝塔的信誉系统BRSN( Beta Reputation System for Sensor Networks),提出了基于二项分布的无线传感器网络信任评估系统BTMS( Binomial-based Trust Management System)。 BTMS基于对节点行为的监控,利用二项分布来描述节点信誉的分布,并进一步得到节点信任值,从而指导中继节点的选择,降低内部攻击的危害。实验结果表明,利用BTMS可以有效的防御来自妥协节点的内部攻击,提高网络安全性。     

基于知识点的试题库组卷算法

该文介绍了一种基于知识点的,采用离散型随机变量的二项分布函数构造选题算法的方法。该算法把题型平均难度系数、题型个数作为主要控制目标,以包含题目题型作为主要条件筛选知识点,以此选择试题,而后对题目按知识点的各难度等级分类,从而按知识点选题组卷,并运用适当的组卷策略优化组卷结果。     

基于遗传算法的试卷生成系统的设计与实现

系统以教育测量理论为基础,分析了试卷生成的约束条件,采用离散型随机变量的二项分布函数建立难度—分数对应关系模型,并以此为依据,利用自适应遗传算法生成和优化试卷。通过调用WebEditor插件,模拟Word环境,实现试题和试卷的操作,使命题环境更接近于传统命题环境;根据频繁访问数据库的特点,利用Hibernate进行对象和关系之间的映射,提高数据库访问效率,具备一定的稳定性和可移植性。     

Least squares decoding in binomial frequency division multiplexing

This paper proposes a method that can reduce the complexity of a system matrix by analyzing the characteristics of a pseudoinverse matrix to receive a binomial frequency division multiplexing (BFDM) signal and decode it using the least squares (LS) method. The system matrix of BFDM can be expressed as a band matrix, and as this matrix contains many zeros, its amount of calculation when generating a transmission signal is quite small. The LS solution can be obtained by multiplying the received signal by the pseudoinverse matrix of the system matrix. The singular value decomposition of the system matrix indicates that the pseudoinverse matrix is a band matrix. The signal-to-interference ratio is obtained from their eigenvalues. Meanwhile, entries that do not contribute to signal generation are erased to enhance calculation efficiency. We decode the received signal using the pseudoinverse matrix and the removed pseudoinverse matrix to obtain the bit error rate performance and to analyze the difference.