Одна из наиболее мощных систем статистического анализа. Включает в себя
свыше 200 статистических процедур и графиков, встроенный текстовый
процессор, импорт/экспорт во всех наиболее главных стандартах, работа с
таблицами данных, поддержка форматов MS Excel, Access, Lotus, dBase,
Paradox и множество других. Уже 26 лет система NCSS являеся одним из
лидеров статистического программного обеспечения, анализа исследования
для фирм, академических учреждений. NCSS импортирует и экспортирует
главные электронные таблицы, базу данных, и статистические форматы
файлов. NCSS легко переводит в гибкую графику. NCSS совместим с
популярными текстовыми процессорами и программным обеспечение
представления, таким как PowerPoint.
PASS performs power analysis and calculates sample sizes. Use it before
you begin a study to calculate an appropriate sample size (it meets the
requirements of government agencies that demand technical justification
of the sample size you have used). Use it after a study to determine if
your sample size was large enough. PASS lets you solve for power,
sample size, effect size, and alpha level. It automatically displays
charts and graphs along with numeric tables and text summaries in a
portable format that is cut and paste compatible with all word
processors so you can easily include the results in your proposal. PASS
is a standalone system. Although it is integrated with NCSS, you do not
have to own NCSS to run it. You can use it with any statistical
software you want. PASS 2008 runs under Windows Vista, XP, 2000, NT,
ME, 98, and 95.
Электронная таблица
Импортируется в Excel, Acess, Lotus, dbase, SAS, SPSS, PDX, и ASCII
форматы. Так, если Ваша база данных представлена в другом формате, то
можно легко импортировать ее в NCSS.
Окно Процедуры
Вы выбираете статистическую (или графическую) процедуру меню и передачи
. Это окно позволяет Вам быстро и легко выполнить анализ .
Непосредственное справочное окно справа предоставляет краткое
объяснение действий.
New Procedures:
Mixed Models
The Mixed Models procedure analyzes results from a wide variety of
experimental designs in which the outcome (response) is continuous,
including
The Mixed Models procedure can be used to test and estimate means
(including pair-wise comparisons among levels), compare models,
estimate variance-covariance matrix components, and produce graphs of
means and repeated measurements of subjects. Restricted maximum
likelihood and full maximum likelihood techniques are implemented in
this procedure.
Circular Data Analysis
This procedure computes summary statistics, generates rose plots and
circular histograms, computes hypothesis tests appropriate for one,
two, and several groups, and computes the circular correlation
coefficient for circular data. Angular data, recorded in degrees or
radians, is generated in a wide variety of scientific research areas.
Examples of angular (and cyclical) data include daily wind directions,
ocean current directions, departure directions of animals, direction of
bone-fracture plane, and orientation of bees in a beehive after stimuli.
Data Matching - Optimal and Greedy
This procedure is used to create treatment-control matches based on
propensity scores and/or observed covariate variables. Both optimal and
greedy matching algorithms are available (as two separate procedures),
along with several options that allow the user to customize each
algorithm for their specific needs. The user is able to choose the
number of controls to match with each treatment (e.g., 1:1 matching,
1:k matching, and variable (full) matching), the distance calculation
method (e.g., Mahalanobis distance, propensity score difference, sum of
rank differences, etc.), and whether or not to use calipers for
matching. The user is also able to specify variables whose values must
match exactly for both treatment and controls in order to assign a
match. NCSS outputs a list of matches by match number along with
several informative reports and optionally saves the match numbers
directly to the database for further analysis.
Data Simulator
This procedure allows you to simulate, store, and visualize data from
various discrete and continuous distributions, including Beta,
Binomial, Cauchy, Constant, Exponential, F, Gamma, Multinomial, Normal,
Poisson, T, Tukey's Lambda, Uniform, and Weibull. Mixture distributions
may also be simulated. This module creates a histogram of a specified
distribution as well as a numerical summary of simulated data. By
storing the data, you can investigate the effects of varying data
distributions on hypothesis tests and confidence intervals for your
specific investigational situation.
Data Stratification
This procedure is used to create stratum assignments based on quantiles
from a numeric stratification variable (often a propensity score
variable). The user is able to choose the number of strata to create
and the amount of data used in the quantile calculations.
Stratification is commonly used in the analysis of data from
observational studies where covariates are not controlled.
Double Dendrograms
Double dendrograms display clusters for individuals (rows) and
variables (columns) in a single graph. A set of eight hierarchical
clustering algorithms are available including single linkage, complete
linkage, and group average. The procedure outputs lists of the items in
each cluster, linkage reports, and a double-dendrogram.
Merging Two Databases
Occasionally, it is useful to merge two databases according to the
value of one or more common (index) variables. This module allows you
to merge two databases, or, alternatively, update one database with the
contents of another.
Multiple Regression with Serial Correlation
This procedure uses the Cochrane-Orcutt method to adjust for serial
correlation when performing multiple regression. The regular Multiple
Regression routine assumes that the random-error components are
independent from one observation to the next. However, this assumption
is often not appropriate for business and economic data. Instead, it is
more appropriate to assume that the error terms are positively
correlated over time. Consequences of the error terms being serially
correlated include inefficient estimation of the regression
coefficients, under estimation of the error variance (MSE), under
estimation of the variance of the regression coefficients, and
inaccurate confidence intervals. The presence of serial correlation can
be detected by the Durbin-Watson test and by plotting the residuals
against their lags.
Nondetects Analysis
This procedure computes summary statistics, generates EDF plots, and
computes hypothesis tests appropriate for two or more groups for data
with nondetects (left-censored) values. Nondetects analysis is the
analysis of data in which one or more of the values cannot be measured
exactly because they fall below one or more detection limits. Detection
limits often arise in environmental studies because of the inability of
instruments to measure small concentrations. Some examples of sampling
scenarios that lead to datasets with nondetects values are finding
pesticide concentrations in water, determining chemical composition of
soils, or establishing the number of particulates of a compound in the
air.
Nondetects Regression
The nondetects regression procedure fits the regression relationship
between a positive-valued dependent variable (with, possibly, some
nondetected responses) and one or more independent variables. The
distribution of the residuals (errors) is assumed to follow the
exponential, extreme value, logistic, log-logistic, lognormal,
lognormal10, normal, or Weibull distribution. Nondetected responses
occur when one or more of the values cannot be measured exactly because
they fall below one or more detection limits.
New Tools:
Macros
NCSS has an interactive (point and click) user interface which makes in
easy to learn and use. At times, however, it is necessary to repeat the
same steps over and over. When this occurs, a batch system becomes more
desirable. This procedure utilizes a batch language that lets you
create a macro (script or program) and then run that macro. With the
click of a single button, you can have the program run a series of
procedures.
Color Selection Windows
The color selection windows let you choose appropriate colors from the
16 million colors that are available on today's monitors. Although
choosing a color sounds like a trivial task, it can become
time-consuming and frustrating. When you have invested a lot of time
and money in a project and now have important results to communicate,
you probably want to take the time to make outstanding graphics. A few,
well-chosen charts can communicate results quickly and effectively. An
important feature of a chart is the color scheme that you use. The goal
of the color selection window is to provide a tool that will allow you
to pick a set of colors that are pleasing to the eye when viewed
together, and let the viewer interpret the results quickly and
effectively.
Quick Launch Window
The Quick Launch window contains a button corresponding to each
statistical and graphical procedure in the system. As you mouse over
each button, a brief paragraph explaining the main purpose of the
currently selected procedure will appear in the message box to the
right. The Quick Launch makes it easy to find and launch any procedure
from a single screen.
New Features: Enhanced User Interface
The procedure interfaces have been redesigned to make the user input
easier to complete. Boxes containing descriptive titles have been added
to group similar options together. This allows for easier navigation of
the procedure windows and faster identification of input categories.
Improved Help System
The NCSS Help System has been improved in NCSS 2007 to make it easier
to find the topic you are looking for. It is also now easier than ever
to print help topics. The new help system consolidates the PDF
documentation and the Help System. Adobe® Reader® Version 7 or later is
required to use the new NCSS Help System. You can download the latest
version of Adobe® Reader® by clicking on the link below. The new help
system is fully compatible with Windows Vista.
PASS Home
PASS is easy to navigate with a simple procedure selection window.
Simply scroll down the list and expand the tree to find the procedure
you want. A message on the right gives an explanation of each procedure.
Procedure Window
Once you select a procedure from the tree or menus, the corresponding
Procedure Window appears. This window lets you quickly and easily
specify the power analysis or sample size parameters. The immediate
help window on the right gives you a brief explanation of each option
as the mouse passes over it. You can save the settings in a template
file for future use.
Output
All reports are displayed using our built-in Word Processor. You can
quickly view, edit, save, and print your output. Reports are stored in
the generic RTF (rich text) format that can be read by most word
processors, so you can easily save PASS reports for further use in Word
or WordPerfect. The output document mixes text and graphs together. The
text portions of the reports are formatted using tabs (not spaces), so
they are easily reformatted.
ОС: Windows XP/Vista Язык: English
Размер: 33.24 Мб
