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The handbook of logistics and distribution management : / understanding the supply chain 由 RUSHTON, A

Statistical techniques in business & economics / 由 Lind, Douglas A.

Statistical techniques in business & economics / 由 Lind, Douglas A.

Statistical techniques in business & economics / 由 Lind, Douglas A.

Introduction to scientology ethics / 由 Hubbard, L. Ron

书本目录: “...The basics of ethics -- Ethics, justice, and the dynamics -- Honesty -- Statistics and the conditions of existence -- The conditions formulas -- Condition formulas, application, and remedies -- An essay on power -- The basics of suppression -- Ethics in Scientology organizations -- Ethics reports -- The third party -- The Sientology justice codes and their application -- Scientology justice procedures -- Conduct of justice and forms of redress....”

Clear body, clear mind : the effective purification program / 由 Hubbard, L. Ron

书本目录: “...Our biochemical society -- The development of the purification program -- Part two : An overview of the purification program. A word about the program -- Exercise and sauna -- Drugs and nutritional deficiencies -- Niacin, the "educated" vitamin -- Oil : trading bad fat for good fat -- The importance of calcium and magnesium -- "Flashbacks," emotional reactions and other manifestations -- Importance of a proper schedule -- Completing the purification program -- A new life through purification -- Supplement A : Drugs and society. ...”
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Essential statistics for economics, business and management / 由 Bradley, Teresa

书本目录: “...Confidence intervals and tests of hypothesis -- Analysis of variance -- Chi-squared tests -- Regression analysis -- Appendix A: technicalities and conventions for defining class intervals, mid-interval, widths, limits, boundaries -- Appendix B: formulae for calculating the quartiles for group data -- Appendix C: outline of derivation of formulae (3.2) and (3.3) for the slope and intercept of the least-squares line, Y=a+bX -- Appendix D: brief review of the mathematics for the binomial -- Appendix E: the number e -- Appendix F: calculation of mean and variance of proportions by expected values -- Appendix G: confidence intervals for means and proportions -- Appendix H: degrees of freedom -- Appendix I: notes on summations and double summations -- Appendix J: expressing the estimates of variance as sums of squares divided by degrees of freedom in their simplest form -- Appendix K: sums of squares for the one-way ANOVA -- Appendix L: fitted values and residuals -- Appendix M: sums of squares identity for two-way ANOVA....”
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Accounting Ethics 由 DUSKA, R.F

书本目录: “...Being Ethical: How toDetermine What toDo Questions toAsk toJustify anAction: TheBasis of EthicalTheory Is theAction Good forMe? Is theAction Good or Harmful forSociety? ...”

Advanced engineering mathematics 由 Kreyszig, Erwin

书本目录: “...Partial Differential Equations (PDEs) 473 CHAPTER 11 Fourier Analysis 474 11.1 Fourier Series 474 11.2 Arbitrary Period. Even and Odd Functions. Half-Range Expansions 483 11.3 Forced Oscillations 492 11.4 Approximation by Trigonometric Polynomials 495 11.5 Sturm–Liouville Problems. ...”
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Statistics / 由 Spiegel, Murray R.

书本目录: “...Curve fitting and the method of least squares -- Relationship between variables -- Curve fitting -- Equations of approximating curves -- Freehand method of curve fitting -- the straight line -- The method of least squares -- The least-squares line -- Nonlinear relationships -- The least-squares parabola -- Regression -- Applications to time series -- Problems involving more than two variables -- 14. Correlation theory -- Correlation and regression -- Linear correlation -- Measures of correlation -- The least-squares regression lines -- Standard error of estimate -- Explained and unexplained variation -- Coefficient of correlation -- Product-moment formula for the linear -- Short computational formulas -- Regression lines and the linear correlation coefficient -- Correlation of time series -- Correlation of attributes -- Sampling theory of correlation -- Sampling theory of regression -- 15. ...”
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Understanding statistics / Bruce J. Chalmer

书本目录: “...-- 3 Describing Data for a Single Variable -- 3.1 There are many ways of summarizing a set of data -- 3.2 Often we are interested in the entire population distribution -- 3.3 Some distributions can be approximated by mathematical functions -- 3.4 A histogram and frequency distribution are very useful descriptive tools -- 3.5 In a histogram, area represents relative frequency -- 3.6 The mean, median, and mode are useful for describing central tendency -- 3.7 The range and interquartile range are measures of variability -- 3.8 The standard deviation is the most commonly used measure of variability -- 3.9 The standard deviation is computed differently for samples versus populations -- 4 Some Distributions Used in Statistical Inference -- 4.1 Knowing the sampling distribution of a statistic allows us to draw inferences from sample data -- 4.2 The standard normal distribution is used to find areas under any normal curve -- 4.3 The binomial distribution is used for variables that count the number of yeses -- 4.4 To calculate binomial probabilities, we need to find the probability of each possible outcome -- 4.5 We next find the number of relevant outcomes and multiply it by the probability of each relevant outcome -- 4.6 Binomial probabilities can be computed from a general formula and are also available in tables -- 4.7 A binomial distribution with large n and moderate p is approximately normal -- 5 Interval Estimation -- 5.1 The standard error of a statistic is the standard deviation of its sampling distribution -- 5.2 The CLT can be applied to draw inferences about the population mean -- 5.3 If we know...”

Understanding statistics / Bruce J. Chalmer 由 CHALMER, Bruce J.

书本目录: “...-- 3 Describing Data for a Single Variable -- 3.1 There are many ways of summarizing a set of data -- 3.2 Often we are interested in the entire population distribution -- 3.3 Some distributions can be approximated by mathematical functions -- 3.4 A histogram and frequency distribution are very useful descriptive tools -- 3.5 In a histogram, area represents relative frequency -- 3.6 The mean, median, and mode are useful for describing central tendency -- 3.7 The range and interquartile range are measures of variability -- 3.8 The standard deviation is the most commonly used measure of variability -- 3.9 The standard deviation is computed differently for samples versus populations -- 4 Some Distributions Used in Statistical Inference -- 4.1 Knowing the sampling distribution of a statistic allows us to draw inferences from sample data -- 4.2 The standard normal distribution is used to find areas under any normal curve -- 4.3 The binomial distribution is used for variables that count the number of yeses -- 4.4 To calculate binomial probabilities, we need to find the probability of each possible outcome -- 4.5 We next find the number of relevant outcomes and multiply it by the probability of each relevant outcome -- 4.6 Binomial probabilities can be computed from a general formula and are also available in tables -- 4.7 A binomial distribution with large n and moderate p is approximately normal -- 5 Interval Estimation -- 5.1 The standard error of a statistic is the standard deviation of its sampling distribution -- 5.2 The CLT can be applied to draw inferences about the population mean -- 5.3 If we know...”